CN107730133A - A kind of energy landscape planing method - Google Patents
A kind of energy landscape planing method Download PDFInfo
- Publication number
- CN107730133A CN107730133A CN201711015426.4A CN201711015426A CN107730133A CN 107730133 A CN107730133 A CN 107730133A CN 201711015426 A CN201711015426 A CN 201711015426A CN 107730133 A CN107730133 A CN 107730133A
- Authority
- CN
- China
- Prior art keywords
- energy
- biomass
- transfer point
- transportation
- analysis
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention proposes a kind of energy landscape planing method, belongs to space planning technical field.Space planning method of the present invention is by producing Potential Analysis, establish Heilongjiang Province's Biomass Energy Development guiding strategies, and analyzed by energy supply and demand, spatial and temporal variation prediction, the space planning improvement strategy based on ENERGY PLANNING and space planning crossing research is built, can effectively reduce the consumption of non-renewable energy resources.The method of the invention is applied to the energy landscape planning field of major small and medium-sized cities.
Description
Technical field
The present invention relates to a kind of energy landscape planing method, belong to space planning technical field.
Background technology
Conventional ENERGY PLANNING only stays in tactic content, and being negligent of formulation figure, then class instructs drawing；Conventional landscape is set
Meter then only lay particular emphasis on beautify the environment, the content of ecological protection aspect, do not make corresponding consideration for new energy development；Letter
Yan Zhi, lack the new planning and designing method for considering ENERGY PLANNING and the crossing research type of landscape design at present.It is especially right
Enriched in Agriculture of Heilongjiang Province biomass energy, the poor present situation of forestry biomass energy, existing ENERGY PLANNING method can not improve
Agro-ecology mass-energy utilization ratio.Meanwhile the existing new and renewable sources of energy industrial development planning in Heilongjiang Province lacks sky
Between allocation plan cause the very big consumption of biomass energy.
The content of the invention
The present invention is to solve the problems, such as that existing existing ENERGY PLANNING method can not improve agro-ecology mass-energy utilization ratio,
A kind of energy landscape planing method is proposed, the technical scheme taken is as follows：
A kind of energy landscape planing method, the specific steps of methods described include：
The first step：Energy demand distribution is calculated according to energy consumption index per capita, determines that energy Landscape development positions；
Second step：Motion RS grid maps are combined with GIS vector analysis methods, calculate the energy consumption under a variety of transportation range threshold values
Parameter is with the service radius with biomass energy transfer point；
3rd step：The a variety of service radiuses drawn according to second step, obtain biomass energy corresponding to each service radius and change
Comprehensive energy utilization rate, cost of transportation and the investment construction indicator of costs of point；
4th step：Compare comprehensive energy utilization rate, cost of transportation and the investment of the biomass energy transfer point of the 3rd step acquisition
Construction cost index, the overall investment output ratio of measuring and calculating weighting, obtains optimal case；
5th step：The optimal spatial that biomass energy transfer point is formed according to optimal case described in the 4th step plans general layout.
Further, the measuring and calculating process of energy demand distribution described in the first step is：
Step 1：Each villages and small towns demographic data that test target region local government is held and these villages and small towns
Reason distribution is input to Arcgis softwares, and generation possesses the vector data of space attribute and the attribute data with position correspondence
Layer；
Step 2：The annual electric energy of population and thermal energy consumption index are obtained from local government, the space generated with reference to step 1
It can be drawn with attribute data and reflect electric energy and the GIS distributing vector data of thermal demand distribution respectively.
Step 3：Electrical energy demands distribution and the thermal demand distribution obtained with Arcgis softwares to step 2 is carried out
Overlay analysis, draw the vector analysis result that can reflect per capita energy's demand parameter and geographic distribution data.Further,
Energy consumption parameter under a variety of transportation range threshold values described in two steps with the measuring and calculating process of the service radius with biomass energy transfer point such as
Under：
Step 1：Multiple assignment are determined according to existing heat supply regulation specified interval scope, using minimum numerical value, highest numerical value
And some middle section numerical value are as test comparison target.
Step 2：Transportation range threshold value is determined according to above-mentioned multiple assignment, is distinguished in the network analysis function of Arcgis softwares
Calculate the biomass transfer point service radius and its corresponding energy consumption parameter of various schemes.
Step 3：The service radius and energy consumption parameter of multiple schemes are compared, using what is determined in preferred plan
Transportation range threshold value is as the optimal value during subsequent analysis.
Further, transportation range threshold value described in second step and the position relationship of biomass energy inversion point are：
When the scope of a regional transportation range threshold value is R≤5km, at least one need to be arranged in this area periphery suburb
Locate biomass energy transfer point；
When the scope of two transportation range threshold values is R<During 5km, biomass energy transfer point can be set between two points；
When the scope of a regional transportation range threshold value is 5km<, at least need to be in the region both sides suburb cloth during R≤7km
Put biomass energy transfer point at two；
When the scope of a regional transportation range threshold value is 7km<, at least need to be in this area periphery suburb during R≤10km
Arrange biomass energy transfer point at 3；
When the scope of a regional transportation range threshold value is R>, then can not be by setting biomass energy in suburb during 10km
The method of transfer point covers city four corner to realize, but area of the zonal distribution width less than 7km still then passes through smaller part
Footpath cities and towns methods to set up is arranged.
Further, the 3rd step according to service radius obtain biomass energy transfer point comprehensive energy utilization rate, transport into
The detailed process of sheet and the investment construction indicator of costs：
Step 1：Existing Village System road network is inputted in Arcgis softwares, is translated into vector analysis path,
According to the determination of existing regulation network analysis and neighbouring analytic function progress are utilized away from road 300m inner regions are setting assignment
Overlay analysis.
Step 2：The zoning scope of some distance level scales can be generated according to the overlay analysis of previous step, these are different
Different transportation range subregions is represented apart from subregion scope, calculates transport energy consumption；Concurrently set the transport speed of different sections of highway
Assignment is spent, cost of transportation is calculated by the places of origin of raw materials and biomass transfer point position.
Step 3：It is whole to calculate according to the comprehensive energy utilization rate of transport energy consumption, cost of transportation and biomass transfer point
Body is invested and construction cost.Further, the detailed process of the overall investment output ratio of weighting is calculated in the 4th pacing：
1st step：According to villages and small towns position, demographic data, road network dispatch measuring and calculating transport energy consumption, cost of transportation.
2nd step：Contrast each generation biomass switch technology, the efficiency of energy utilization of the various switch technologies of comprehensive comparative analysis,
By the way of with highest efficiency of energy utilization.
3rd step：Operation cost is relied on the biomass transfer point efficient energy conversion of itself to calculate the energy of whole region
Source utilization ratio, it is determined that overall investment output ratio, preferably goes out most preferably congenial construction scheme and Layout's pattern.The present invention has
Beneficial effect：
The method of the invention makes full use of the abundant advantage of Agriculture of Heilongjiang Province biomass energy, is managed with " energy landscape "
By method, the development with controlling biomass energy is guided from space planning aspect.By producing Potential Analysis, Heilongjiang Province's life is established
Material can develop guiding strategies, and be analyzed by energy supply and demand, spatial and temporal variation prediction, and structure is based on ENERGY PLANNING and space planning
The space planning improvement strategy of crossing research.Optimize the samll cities and towns established and cost of transportation relational model, structure is applied to black dragon
Jiang Sheng biomass energy transfer point layout pattern.It is current from development tactics and space layout pattern Liang Ge angulation changes Heilongjiang Province
Biomass utilization efficiency is low, the present situation of serious waste of resources, optimizes biomass energy consumption structure, reduces non-renewable energy resources
Consumption.
1) energy landscape planing method combination Agriculture of Heilongjiang Province biomass energy of the present invention is enriched, forestry biomass
The characteristics of mass-energy is poor, agro-ecology mass-energy utilization ratio can be effectively improved, forbid forestry biomass energy exploitation as biology
Mass-energy is developed.Effective reasonable cloth is only capable of to the space of the existing new and renewable sources of energy industrial development planning in Heilongjiang Province
Office's planning, the method for the invention can be from biomass energy spatial distribution, production capacity quantitative analysis, production suitability feasibilities
Analysis, site criteria, it is coupled wind-power electricity generation network to realize Peak Load Adjustment etc., the comprehensive existing biomass energy consumption of improvement
Structure, and then can largely reduce consuming excessively for non-renewable resources.
2) according to samll cities and towns of Heilongjiang Province and road network layout characteristics, severe cold area samll cities and towns is established and are changed with biomass energy
Point layout pattern, and then region biomass energy energy conversion space of points layout pattern is formulated, turn for popularization samll cities and towns biomass energy
Change space of points planning and tactic guidance is provided.
3) determine that Han Di samll cities and towns Biomass Energy Development strategy is as follows：
The intercity road systems of a should be organically combined with environment, mutually coordinated, and life is considered on the basis of traffic requirement is met
Material energy transfer point transportation radius and joint operation Cooperation benefit；
B. the addressing of biomass energy transfer point should be minimized with cost of transportation, be gathered materials on the spot as criterion, formation appropriate density
Renewable energy source network；
C. economic interests and ecological benefits are taken into account, biomass power generation etc. is ensured on the premise of ecological benefits are improved as far as possible
Operation is in profit state, it is ensured that operational feasibility；
D. establish wind energy and be coupled power peak regulation mechanism with biomass energy, form stable continued power network；
E. plan as a whole formulate energy space planning, using GIS, RS technology quantify picture and text analyze data, by scheme then with control
The form of index instructs ENERGY PLANNING.
Brief description of the drawings
Fig. 1 is Small-Scale Town and biomass energy transfer point arrangement figure.
Fig. 2 is " energy landscape " method pie graph using biomass energy as research object.
Fig. 3 is that biomass energy transfer point service range multi-scheme compares figure.
Embodiment
With reference to specific embodiment, the present invention will be further described, but the present invention should not be limited by the examples.
Embodiment 1：
A kind of energy landscape planing method, the specific steps of methods described include：
The first step：Energy demand distribution is calculated according to energy consumption index per capita, determines that energy Landscape development positions；
Second step：Motion RS grid maps are combined with GIS vector vector analysis methods, are calculated under a variety of transportation range threshold values
Energy consumption parameter is with the service radius with biomass energy transfer point；
3rd step：The a variety of service radiuses drawn according to second step, obtain biomass energy corresponding to each service radius and change
Comprehensive energy utilization rate, cost of transportation and the investment construction indicator of costs of point；
4th step：Compare comprehensive energy utilization rate, cost of transportation and the investment of the biomass energy transfer point of the 3rd step acquisition
Construction cost index, the overall investment output ratio of measuring and calculating weighting, obtains optimal case；
5th step：The optimal spatial that biomass energy transfer point is formed according to optimal case described in the 4th step plans general layout.
Specifically, the determination process of biomass potential and development orientation is in energy Landscape development positioning described in the first step：
It is 50900kwh/hm to go out the annual production of agricultural biomass potential according to biomass potential heat energy numerical estimation2, forest life
The annual production of material potential is 17400kwh/hm2, the agriculture and forestry condition of production data in Heilongjiang Province's statistical yearbook in 2016 are entered
Row calculates, and can draw the various crops in Heilongjiang Province, the biomass potential numerical value (table 1) in forest land respectively.
1 2012 years Heilongjiang Province's agriculture and forestry land areas of table and biomass potential
As known from Table 1, Agriculture of Heilongjiang Province resource has a high potential compared with horn of plenty, Biomass Energy Development；And in forest resourceies
It is most of to only have 300hm for Timber stands, shelter-forest, firewood forests area2, therefore do not possess Biomass Energy Development potentiality.This
In the case of, the main target of Biomass Energy Development should be defined as to improving the utilization ratio of crop residue, strengthened recent
Transport, processing and the generating capacity of interior agro-ecology mass-energy, non-development zones utilize forestry biomass energy, while forest culture and management is educated energetically
Woods, improve the present situation of forest resourceies shortage.
The optimal spatial planning general layout of biomass energy transfer point described in 5th step is as follows：
The development of agro-ecology mass-energy need to take into full account the effective radius of biomass carrier transport, and warp is built in this, as weighing
Ji property standard come select determine biomass energy transfer point layout type.According to multidigit expert assessment result and GIS sunykatuib analyses
As a result, it was demonstrated that renewable energy source carrier transportation range has the threshold restriction (table 2) of itself, and excessive transportation radius will cause to transport
Defeated cost increase, reduce the economy of biomass energy conversion.
The renewable energy source carrier transportation range threshold value (unit of table 2：m)
By the conventional heating network designing technique of China, main pipeline design specific frictional resistance can use 60~100Pa/m, temperature drop 15~20
DEG C/km, according to this numerical value establish design specification regulation steam power plant heat range of heat be generally 6~8km, no longer than 10km,
This numerical value is consistent with the conclusion of table 2.Therefore, the more economical mode for being suitable for Heilungkiang is that addressing carries out biology near samll cities and towns
Mass-energy process change, so preferable balance can be obtained between cost of transportation and road construction investment, obtained relatively inexpensive
Overall efficiency (Fig. 3).
Wherein, the measuring and calculating process of energy demand distribution described in the first step is：
Step 1：Each villages and small towns demographic data that test target region local government is held and these villages and small towns
Reason distribution is input to Arcgis softwares, and generation possesses the vector data of space attribute and the attribute data with position correspondence
Layer.
Step 2：The annual electric energy of population and thermal energy consumption index are obtained from local government, the space generated with reference to step 1
It can be drawn with attribute data and reflect electric energy and the GIS distributing vector data of thermal demand distribution respectively.
Step 3：Electrical energy demands distribution and the thermal demand distribution obtained with Arcgis softwares to step 2 is carried out
Overlay analysis, draw the vector analysis result that can reflect per capita energy's demand parameter and geographic distribution data.Described in second step
Energy consumption parameter under a variety of transportation range threshold values is as follows with the measuring and calculating process of the service radius with biomass energy transfer point：
Step 1：Multiple assignment are determined according to existing heat supply regulation specified interval scope, using minimum numerical value, highest numerical value
And some middle section numerical value are as test comparison target.
Step 2：Transportation range threshold value is determined according to above-mentioned multiple assignment, is distinguished in the network analysis function of Arcgis softwares
Calculate the biomass transfer point service radius and its corresponding energy consumption parameter of various schemes.
Step 3：The service radius and energy consumption parameter of multiple schemes are compared, using what is determined in preferred plan
Transportation range threshold value is as the optimal value during subsequent analysis.
As shown in figure 3, transportation range threshold value described in second step is cities and towns radius, and therefore, samll cities and towns' radius and life
The position relationship of material energy inversion point is：
When samll cities and towns' radius is R≤5km, biomass energy conversion at one need to be at least arranged in samll cities and towns' radius perimeter suburb
Point；
When radius is R<5km Liang Ge samll cities and towns distance can set biomass energy to turn in 3-5km between two samll cities and towns
Change a little；
When samll cities and towns' radius is 5km<During R≤7km, at least it need to arrange that biomass energy turns at two in the samll cities and towns both sides suburb
Change a little；
When samll cities and towns' radius is 7km<During R≤10km, at least it need to arrange that biomass energy turns at 3 in the samll cities and towns periphery suburb
Change a little；
When samll cities and towns' radius is R>During 10km, then it can not be realized by setting the method for biomass energy transfer point in suburb
City four corner is covered, but area of the zonal distribution width less than 7km is still then entered by minor radius cities and towns method to set up
Row arrangement.
Comprehensive energy utilization rate, cost of transportation and the investment that 3rd step obtains biomass energy transfer point according to service radius are built
If the detailed process of the indicator of costs：
Step 1：Existing Village System road network is inputted in Arcgis softwares, is translated into vector analysis path,
According to the determination of existing regulation network analysis and neighbouring analytic function progress are utilized away from road 300m inner regions are setting assignment
Overlay analysis.
Step 2：The zoning scope of some distance level scales can be generated according to the overlay analysis of previous step, these are different
Different transportation range subregions is represented apart from subregion scope, calculates transport energy consumption；Concurrently set the transport speed of different sections of highway
Assignment is spent, cost of transportation is calculated by the places of origin of raw materials and biomass transfer point position.
Step 3：It is whole to calculate according to the comprehensive energy utilization rate of transport energy consumption, cost of transportation and biomass transfer point
Body is invested and construction cost.
The detailed process of the overall investment output ratio of weighting is calculated in 4th pacing：
1st step：According to villages and small towns position, demographic data, road network dispatch measuring and calculating transport energy consumption, cost of transportation.
2nd step：Contrast each generation biomass switch technology, the efficiency of energy utilization of the various switch technologies of comprehensive comparative analysis,
By the way of with highest efficiency of energy utilization.
3rd step：Operation cost is relied on the biomass transfer point efficient energy conversion of itself to calculate the energy of whole region
Source utilization ratio, it is determined that overall investment output ratio, preferably goes out most preferably congenial construction scheme and Layout's pattern.Institute of the present invention
State energy landscape planing method combination Agriculture of Heilongjiang Province biomass energy to enrich, the characteristics of forestry biomass energy is poor, energy
Enough effectively improve agro-ecology mass-energy utilization ratio, forbid forestry biomass energy exploitation to be developed as biomass energy.To Heilungkiang
The space for saving existing new and renewable sources of energy industrial development planning is only capable of effective rational deployment planning, of the present invention
Method can be from biomass energy spatial distribution, production capacity quantitative analysis, the feasibility analysis of production suitability, site criteria, connection
Wind-power electricity generation network is tied to realize Peak Load Adjustment etc., the comprehensive existing biomass energy consumption structure of improvement.
Meanwhile according to samll cities and towns of Heilongjiang Province and road network layout characteristics, establish severe cold area samll cities and towns and biomass energy
Transfer point layout pattern, and then region biomass energy energy conversion space of points layout pattern is formulated, for popularization samll cities and towns biomass
Can transfer point space planning offer tactic guidance.
Wherein it is determined that Han Di samll cities and towns Biomass Energy Development strategy is as follows：
The intercity road systems of a should be organically combined with environment, mutually coordinated, and life is considered on the basis of traffic requirement is met
Material energy transfer point transportation radius and joint operation Cooperation benefit；
B. the addressing of biomass energy transfer point should be minimized with cost of transportation, be gathered materials on the spot as criterion, formation appropriate density
Renewable energy source network；
C. economic interests and ecological benefits are taken into account, biomass power generation etc. is ensured on the premise of ecological benefits are improved as far as possible
Operation is in profit state, it is ensured that operational feasibility；
D. establish wind energy and be coupled power peak regulation mechanism with biomass energy, form stable continued power network；
E. plan as a whole formulate energy space planning, using GIS, RS technology quantify picture and text analyze data, by scheme then with control
The form of index instructs ENERGY PLANNING.
Although the present invention is disclosed as above with preferred embodiment, it is not limited to the present invention, any to be familiar with this
The people of technology, without departing from the spirit and scope of the present invention, various changes and modification, therefore the protection of the present invention can be done
What scope should be defined by claims is defined.
Claims (6)
1. a kind of energy landscape planing method, it is characterised in that the specific steps of methods described include：
The first step：Energy demand distribution is calculated according to energy consumption index per capita, determines that energy Landscape development positions；
Second step：Motion RS grid maps are combined with GIS vector analysis methods, calculate the energy consumption parameter under a variety of transportation range threshold values
With the service radius with biomass energy transfer point；
3rd step：The a variety of service radiuses drawn according to second step, obtain biomass energy transfer point corresponding to each service radius
Comprehensive energy utilization rate, cost of transportation and the investment construction indicator of costs；
4th step：Compare comprehensive energy utilization rate, cost of transportation and the investment construction of the biomass energy transfer point of the 3rd step acquisition
The indicator of costs, the overall investment output ratio of measuring and calculating weighting, obtains optimal case；
5th step：The optimal spatial that biomass energy transfer point is formed according to optimal case described in the 4th step plans general layout.
2. energy landscape planing method according to claim 1, it is characterised in that energy demand described in the first step is distributed
The measuring and calculating process of state is：
Step 1：Each villages and small towns demographic data that test target region local government is held and geographical point of these villages and small towns
Cloth state is input to Arcgis softwares, and generation possesses the vector data of space attribute and the attribute data layer with position correspondence；
Step 2：The annual electric energy of population and thermal energy consumption index are obtained from local government, the space generated with reference to step 1 and category
Property data can draw the GIS distributing vector data for reflecting electrical energy demands distribution and thermal demand distribution respectively；
3. step 3：The electrical energy demands distribution obtained with Arcgis softwares to step 2 is folded with thermal demand distribution
Bonus point is analysed, and draws the vector analysis result that can reflect per capita energy's demand parameter and geographic distribution data.According to claim 1
The energy landscape planing method, it is characterised in that energy consumption parameter under a variety of transportation range threshold values described in second step with
It is as follows with the measuring and calculating process of the service radius of biomass energy transfer point：
Step 1：Determine multiple assignment according to existing heat supply regulation specified interval scope, using minimum numerical value, highest numerical value and
Some middle section numerical value are as test comparison target；
Step 2：Transportation range threshold value is determined according to above-mentioned multiple assignment, is calculated respectively in the network analysis function of Arcgis softwares
The biomass transfer point service radius of various schemes and its corresponding energy consumption parameter；
Step 3：The service radius and energy consumption parameter of multiple schemes are compared, using the transport determined in preferred plan
Distance threshold is as the optimal value during subsequent analysis.
4. energy landscape planing method according to claim 1, it is characterised in that transportation range threshold value described in second step
Position relationship with biomass energy inversion point is：
When the scope of a regional transportation range threshold value is R≤5km, it need at least arrange in this area periphery suburb and be given birth at one
Material energy transfer point；
When the scope of two transportation range threshold values is R<During 5km, biomass energy transfer point can be set between two points；
When the scope of a regional transportation range threshold value is 5km<During R≤7km, at least two need to be arranged in the region both sides suburb
Locate biomass energy transfer point；
When the scope of a regional transportation range threshold value is 7km<During R≤10km, at least 3 need to be arranged in this area periphery suburb
Locate biomass energy transfer point；
When the scope of a regional transportation range threshold value is R>, then can not be by setting biomass energy to change in suburb during 10km
The method of point covers city four corner to realize, but area of the zonal distribution width less than 7km still then passes through minor radius city
Town method to set up is arranged.
5. energy landscape planing method according to claim 1, it is characterised in that the 3rd step obtains according to service radius
The detailed process of the comprehensive energy utilization rate of biomass energy transfer point, cost of transportation and the investment construction indicator of costs：
Step1：Existing Village System road network is inputted in Arcgis softwares, is translated into vector analysis path, foundation
What existing regulation determined utilizes network analysis with being overlapped adjacent to analytic function away from road 300m inner regions for setting assignment
Analysis；
Step2：The zoning scope of some distance level scales can be generated according to the overlay analysis of previous step, these different distances point
Area's scope represents different transportation range subregions, calculates transport energy consumption；The travelling speed assignment of different sections of highway is concurrently set,
Cost of transportation is calculated by the places of origin of raw materials and biomass transfer point position；
Step3：Overall investment is calculated according to the comprehensive energy utilization rate of transport energy consumption, cost of transportation and biomass transfer point
And construction cost.
6. energy landscape planing method according to claim 1, it is characterised in that the overall investment of weighting is calculated in the 4th pacing
The detailed process of output ratio：
1st step：According to villages and small towns position, demographic data, road network dispatch measuring and calculating transport energy consumption, cost of transportation；
2nd step：Each generation biomass switch technology is contrasted, the efficiency of energy utilization of the various switch technologies of comprehensive comparative analysis, is used
Mode with highest efficiency of energy utilization；
3rd step：Operation cost is relied on the biomass transfer point efficient energy conversion of itself to calculate the energy of whole region profit
With efficiency, it is determined that overall invest output ratio, preferably go out most preferably congenial construction scheme and Layout's pattern.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711015426.4A CN107730133B (en) | 2017-10-25 | 2017-10-25 | A kind of energy landscape planing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711015426.4A CN107730133B (en) | 2017-10-25 | 2017-10-25 | A kind of energy landscape planing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107730133A true CN107730133A (en) | 2018-02-23 |
| CN107730133B CN107730133B (en) | 2018-09-21 |
Family
ID=61213946
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711015426.4A Active CN107730133B (en) | 2017-10-25 | 2017-10-25 | A kind of energy landscape planing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107730133B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108876148A (en) * | 2018-06-19 | 2018-11-23 | 哈尔滨工业大学 | It is a kind of by urban afforestation residue recycling for the purpose of energy landscape operation method |
| CN109508890A (en) * | 2018-11-20 | 2019-03-22 | 哈尔滨工业大学 | The calculation method that biomass thermal power plant raw material bleeding point influences transportation cost |
| CN114298736A (en) * | 2021-12-08 | 2022-04-08 | 哈尔滨工业大学 | Method for determining optimal population density suitable for developing biomass energy |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101833701A (en) * | 2010-01-08 | 2010-09-15 | 南京大学 | Method for programming main body functional areas in region and support system |
| CN106446314A (en) * | 2015-09-09 | 2017-02-22 | 中国科学院地理科学与资源研究所 | Method for measurement and calculation of correlation between urban form and carbon emission based on Landsat TM (Thematic Mapper) and ETM (Enhanced Thematic Mapper) images |
| CN107067091A (en) * | 2016-10-11 | 2017-08-18 | 河南大学 | A kind of urban ecological land space planning model based on ant colony optimization algorithm |
| CN107146026A (en) * | 2017-05-09 | 2017-09-08 | 南京市城市规划编制研究中心 | A kind of space planning land used difference automatic synchronization method |
-
2017
- 2017-10-25 CN CN201711015426.4A patent/CN107730133B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101833701A (en) * | 2010-01-08 | 2010-09-15 | 南京大学 | Method for programming main body functional areas in region and support system |
| CN106446314A (en) * | 2015-09-09 | 2017-02-22 | 中国科学院地理科学与资源研究所 | Method for measurement and calculation of correlation between urban form and carbon emission based on Landsat TM (Thematic Mapper) and ETM (Enhanced Thematic Mapper) images |
| CN107067091A (en) * | 2016-10-11 | 2017-08-18 | 河南大学 | A kind of urban ecological land space planning model based on ant colony optimization algorithm |
| CN107146026A (en) * | 2017-05-09 | 2017-09-08 | 南京市城市规划编制研究中心 | A kind of space planning land used difference automatic synchronization method |
Non-Patent Citations (4)
| Title |
|---|
| 于萍: "生物质能用于城镇区域供热能源的优化配置技术研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 张一飞 等: "严寒地区小城镇生物质能发展策略与用地空间布局模式", 《中国科技论文》 * |
| 张一飞 等: "能源景观视角下的空间规划改进探讨——以黑龙江生物质能发展策略为例", 《城市发展研究》 * |
| 马克尼 等: "黑龙江省村镇体系生物质能源发展网络的空间模式分析", 《城市发展研究》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108876148A (en) * | 2018-06-19 | 2018-11-23 | 哈尔滨工业大学 | It is a kind of by urban afforestation residue recycling for the purpose of energy landscape operation method |
| CN108876148B (en) * | 2018-06-19 | 2019-11-05 | 哈尔滨工业大学 | It is a kind of by urban afforestation residue recycling for the purpose of energy landscape operation method |
| CN109508890A (en) * | 2018-11-20 | 2019-03-22 | 哈尔滨工业大学 | The calculation method that biomass thermal power plant raw material bleeding point influences transportation cost |
| CN114298736A (en) * | 2021-12-08 | 2022-04-08 | 哈尔滨工业大学 | Method for determining optimal population density suitable for developing biomass energy |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107730133B (en) | 2018-09-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhang et al. | A review of urban energy systems at building cluster level incorporating renewable-energy-source (RES) envelope solutions | |
| Bačeković et al. | Local smart energy systems and cross-system integration | |
| Wang et al. | A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level | |
| Yang et al. | Impacts of urbanization on renewable energy consumption in China | |
| CN103903073B (en) | A kind of micro-capacitance sensor Method for optimized planning containing distributed power source and energy storage and system | |
| Niu et al. | China׳ s energy systems transformation and emissions peak | |
| Chen et al. | Western China energy development and west to east energy transfer: Application of the Western China Sustainable Energy Development Model | |
| CN103401236B (en) | A kind of wind energy turbine set unit group technology based on flow correlation of wind power farm | |
| CN103580061B (en) | Microgrid operating method | |
| CN107784410B (en) | Regional energy Internet integrated system and method for optimizing configuration and operation thereof | |
| Cai et al. | An integrated approach for climate-change impact analysis and adaptation planning under multi-level uncertainties. Part II. Case study | |
| CN107730133B (en) | A kind of energy landscape planing method | |
| Yang et al. | Optimal configuration of improved integrated energy system based on stepped carbon penalty response and improved power to gas | |
| CN106886833A (en) | A kind of wind-driven generator addressing Lectotype Optimization method suitable for Complex Constraints condition | |
| CN106682282A (en) | Wind farm multi-type wind driven generator arrangement optimization method based on genetic algorithm nested in particle swarm optimization | |
| Hastik et al. | Using the “footprint” approach to examine the potentials and impacts of renewable energy sources in the European Alps | |
| CN107808244A (en) | Village System biomass cogeneration power plant develops the construction method of network | |
| CN108446782A (en) | A kind of optimization of land resource configuration method of consideration of multi-scale | |
| Wang | Development characteristics, influencing mechanism and coping strategies of resource-based cities in developing countries: a case study of urban agglomeration in Northeast China | |
| Nguyen | Impacts of wind power generation and CO2 emission constraints on the future choice of fuels and technologies in the power sector of Vietnam | |
| Bin et al. | Sustainable energy options for a low carbon demonstration city project in Shenzhen, China | |
| Zhang et al. | Effects of the distribution density of a biomass combined heat and power plant network on heat utilisation efficiency in village–town systems | |
| CN106875068B (en) | optimization method and system for wind driven generator configuration and model selection | |
| CN116844405A (en) | Planning model and planning method for zero-carbon city | |
| Zhang et al. | Effect of the distribution density of biomass combined heat and power plant networks on total energy utilization efficiency |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |