CN111538939A - Method for quantitatively evaluating regional geothermal heating economy - Google Patents
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Abstract
The invention discloses a method for quantitatively evaluating the economy of regional geothermal heating, which forms a regional geothermal heating basic data plane distribution diagram based on the acquired regional geothermal resource basic data and economic basic data such as cost/income composition and the like; meanwhile, a local geothermal heating economy evaluation model is built, a functional relation between economic parameters and geothermal resource basic data is formed, a regional geothermal resource basic data plane distribution diagram is converted into a regional geothermal heating economy parameter plane distribution diagram through functional operation, a geothermal economic heating favorable area in a region range is optimized on the basis, and a solid data and data foundation is laid for further geothermal exploration and economic development. The invention combines the actual geothermal resource data with the actual economic index, can visually display the economic feasibility and the most beneficial area of the geothermal heating of the region on the plane, can better meet the exploration and development of geothermal resources, and utilizes the geothermal resources to carry out industrial/civil heating.
Description
Technical Field
The invention belongs to the technical field of geothermal exploration and development, and particularly relates to a method for quantitatively evaluating regional geothermal heating economy.
Background
The geothermal resource is a clean renewable energy source with large reserve, high efficiency and good stability, and has great significance for energy conservation, emission reduction, haze treatment and the like. Geothermal resources can be used in a plurality of fields such as power generation, heating, hot spring bathing, agricultural irrigation and the like, but aiming at the characteristics of the geothermal resources at low temperature in China, the geothermal resources in China are mainly used for industrial/residential heating, and a typical geothermal heating mode represented by a 'Xiongcounty mode' is popularized and applied in a plurality of areas in North China, so that better social benefits and economic benefits are obtained.
However, the heterogeneity of geothermal resource distribution causes different utilization degrees of geothermal resources in different regions; the cost/income composition in the process of geothermal development and utilization is different, the drilling cost and heating charge difference of each region is large, and the condition that industrial/community heating by utilizing geothermal resources in not all regions is feasible is directly determined. The existing regional evaluation work aiming at geothermal heating is mainly carried out aiming at the condition of geothermal resources, but the economic analysis is usually carried out by simplifying treatment, and an effective method for directly carrying out the economic evaluation of geothermal heating on a regional plane is not formed. Therefore, a set of method for quantitative economic evaluation of geothermal heating, which is convenient for economic evaluation of geothermal heating, accurate and reliable in index parameters and strong in regional contrast, is needed to be formed so as to meet the actual requirement of developing accurate economic evaluation at the early stage of geothermal development and utilization.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a method for quantitatively evaluating the regional geothermal heating economy, and provides the method for quantitatively evaluating the regional geothermal heating economy.
In order to achieve the above object, the present invention adopts a technical solution in which a method for quantitatively evaluating the economy of geothermal heating in a district includes the steps of:
s1, acquiring regional geothermal resource basic data;
s2, acquiring the composition of a local geothermal development mode and geothermal heating cost and income, and acquiring regional geothermal heating economical basic data;
s3, forming a regional geothermal heating basic data plane distribution map by interpolation and subdivision based on the geothermal resource basic data obtained in S1 and the regional geothermal heating economical basic data obtained in S2;
s4, inputting basic constant economic parameters in a region range according to the regional geothermal heating economic efficiency evaluation model and the regional geothermal heating basic data plane distribution diagram obtained in the S3 to form an economic efficiency evaluation model only lacking geothermal resource parameters;
s5, establishing a functional relation through an economic evaluation model of only lacking geothermal resource parameters, and converting each geothermal resource parameter distribution map into a geothermal heating economic parameter SPP distribution map by using functional operation;
the regional geothermal heating economy evaluation model specifically comprises the following steps: constructing a geothermal heating economy evaluation model according to the composition of the investment, cost and income of regional geothermal heating;
the economic evaluation model comprises three indexes of initial investment V, annual total cost C and annual income I, and the basic model is as follows:
SPP＝V/(I-C)
in the formula, SPP is a static recovery period;
s6, evaluating the economy of regional geothermal economic heating based on the geothermal development economic parameter distribution diagram, quantitatively comparing and analyzing the SPP of each region, using the obtained static recovery period of each region as basic data of the next geothermal exploration and development, and determining the region which is most suitable for geothermal heating in the region according to the length of the static recovery period.
In S2, according to the regional geological survey and the geothermal well drilling condition, acquiring the geothermal resource basic data of different positions and different wells in the regional scope, wherein the geothermal resource basic data comprises but is not limited to the regional geothermal reservoir top buried depth d and the geothermal reservoir top temperature T1Final return water temperature T0The geothermal water/steam outlet quantity Q, the water/steam outlet quantity ratio r and the coordinate position of each datum.
S3, the regional geothermal heating economic basic data includes but is not limited to the investment per unit length V of the wellu1And other unit investment VuiAnd a number niOther investment total V' or total investment amplification factor α, heating charging unit price Iu1Heating days per year t, and operation and maintenance cost per unit area per year Cu1Annual unit hot water resource tax cost Cu2Heating power per unit area P and heat exchange efficiency η.
In S3, the existing variable data are interpolated and subdivided according to the same grid density, and finally a regional geothermal foundation or economic evaluation data plane distribution diagram is obtained, wherein the regional geothermal foundation or economic evaluation data plane distribution diagram includes but is not limited to regional earth surface temperature T0Profile, reservoir top depth d profile, reservoir top temperature T1Profile and reservoir water production Q profile.
In S3, for a plurality of geothermal reservoirs related to the region from top to bottom, a distribution map of the region surface temperature, the reservoir top depth, the reservoir top temperature, the reservoir water yield, and the like is obtained for each reservoir.
At S4, the initial investment includes exploration investment V0Investment in drilling1Investment of automatic control system V2Investment V of heat exchange station3And heat supply pipe network investment V4(ii) a Wherein the drilling investment V1Closely related to the drilling depth d; investment of autonomous system V2And investment V of heat exchange station3The number n of the automatic control systems required by the main and single group of wells2And the number n of heat exchange stations3Correlation; heat supply pipe network investment V4It is mainly related to the pipe network distance; exploration investment V0Common investment for different positions in the area is realized, the comparison of economy in the area is not influenced,
the total initial investment V may be expressed as:
V＝V1+V2+V3+V4＝Vu1×d×n1+Vu2×n2+Vu3×n3+Vu4×l4
well drilling investment V1The above formula is simplified to be V- α× V for the key and main investment composition in the total investment1＝α×Vu1×n1×d；
The total annual cost C includes the annual operation and maintenance cost C1And resource tax cost C2；
Annual operation and maintenance cost C1Cost of heating per unit area per year Cu1Determined together with the heating area S, C1＝Cu1×S/10000；
The actual heating area S is determined by the actual geothermal resource supply capacity, the unit area heating power P and the heat exchange efficiency η, wherein S is 1000 × Cw×Q×(T1-T0)×η/P/3600，CwIs the specific heat capacity of water;
resource tax cost C2Associated with the quantity of geothermal water used, C2＝Cu2×m2/10000；m2Total amount of geothermal water for annual use;
m2q × 24 × t, t is the local number of days of heating per year, Q the amount of hot water/steam coming out;
SPP＝α×Vu1×d×n1/[(Iu1–Cu1)×Cw×Q×(T1-T0)×η/P/36000+0.0024×Cu2×Q×t]
if the total investment amplification factor per unit depth is α× Vu1×n1Net income per unit area of year Iu’＝Iu1–Cu1Let the equivalent thermal capacity kw’＝Cw×η/P/36000, equivalent resource tax rate Cu2’＝0.0024×Cu2×t；
The economic evaluation model is simplified as follows:
in S4, the total annual revenue of geothermal heating I may be expressed as:
I＝I1+I’＝Iu1×S+I
in the formula Iu1The unit price is charged for geothermal heating, and I' is subsidized by the local government.
Compared with the prior art, the invention has at least the following beneficial effects:
the method forms a regional geothermal heating basic data plane distribution diagram based on the acquired regional geothermal resource basic data and economic basic data such as cost/income composition; meanwhile, a local geothermal heating economy evaluation model is built, a functional relation between economic parameters and geothermal resource basic data is formed, a regional geothermal resource basic data plane distribution diagram is converted into a regional geothermal heating economy parameter plane distribution diagram through functional operation, based on the geothermal heating economy parameter distribution diagram, a favorable region which is most suitable for geothermal heating in the region can be visually optimized, and a solid data and data foundation is laid for the next step of geothermal exploration and development.
Drawings
FIG. 1 is a flow chart of a method for quantitatively evaluating the economy of geothermal heating in a region according to the present invention.
FIG. 2 is a top depth profile of a geothermal reservoir in area A in an embodiment of the present invention.
FIG. 3 is a top temperature distribution diagram of a geothermal reservoir in area A according to an embodiment of the present invention.
FIG. 4 is a distribution diagram of the economic parameters SPP (static recovery period) of geothermal heating of the area A in the example of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and the specific embodiments.
As shown in fig. 1, the present invention is a method for quantitatively evaluating the economy of geothermal heating in a region, comprising the steps of:
s1, acquiring regional geothermal resource basic data;
obtaining sufficient and effective geothermal resource basic data is an important prerequisite for developing geothermal resources and economic evaluation. Based on parameters required by geothermal economic evaluation, according to regional geological survey and geothermal well drilling conditions, basic data of geothermal resources at different positions and different wells in a region range are collected in advance, wherein the basic data mainly comprise but not limited to the top buried depth d (m) of a regional geothermal reservoir and the top temperature T of the geothermal reservoir1(° c), final return water temperature T0(° c), geothermal outlet water/vapor quantity Q (m)3H), the ratio r of the water outlet amount to the steam amount and the coordinate position of each datum;
s2, researching a local geothermal development mode and geothermal heating cost/income composition, and acquiring regional geothermal heating economical basic data;
the different geothermal heating modes and costs/incomes constitute direct decisions on the economics of local geothermal heating, so that the initial investment, annual incomes and annual cost data for the regional scope affecting geothermal heating, including but not limited to the length-per-unit investment V of the well bore, need to be known in advanceu1(ten thousand yuan/m) and other unit investment Vui(ten thousand yuan/unit) and number niOther total investment V' (ten thousand yuan) or total investment amplification factor α (i.e. the ratio of the total investment to the drilling investment, usually 1-3), heating charging unit price Iu1(Yuan/m)2) Heating days per year t (days), and operation and maintenance cost per unit area per year Cu1(Yuan/m)2) Annual unit hot water resource tax cost Cu2(Yuan/m)2) Heating power per unit area P (W/m)2) η heat exchange efficiency, etc.;
s3, forming a regional geothermal heating basic data plane distribution map through interpolation and subdivision;
determining the boundary of a research range, interpolating and subdividing the existing variable data according to the same grid density by using mapping software such as surfer and the like in the research range according to the geothermal resources and the economic evaluation basic data collected in S1 and S2, and finally obtaining a regional geothermal foundation or economic evaluation data plane distribution diagram including but not limited to regional ground surface temperature T0Profile, reservoir top depth d profile, reservoir top temperature T1Profile, reservoir water yield Q profile, etc. If the research area relates to a plurality of geothermal reservoirs from top to bottom, distribution maps of the area surface temperature, the reservoir top depth, the reservoir top temperature, the reservoir water yield and the like can be respectively obtained for each reservoir.
S4, forming a regional geothermal heating economic parameter plane distribution diagram by combining an economic evaluation model;
the economic evaluation model is specifically as follows: constructing a geothermal heating economy evaluation model according to the composition of the initial investment, the cost and the income of the regional geothermal heat;
the economic evaluation model is one of key factors for determining whether the geothermal heating economic evaluation result is reliable, and the economic analysis related by the invention is carried out by taking a group of wells (comprising 1 heat taking well and a corresponding recharging well) as a unit; the economic evaluation model mainly comprises three indexes of initial investment V, annual cost C and annual income I, and the basic model is as follows:
SPP＝V/(I-C)(1)
in the formula, SPP represents a static payback period, reflecting the ratio of initial investment V to annual revenue (difference between annual income and annual cost, I-C), i.e. the payback period without considering the time effect. The initial investment of geothermal heating mainly comprises the following steps: exploration investment V0Investment in drilling1Investment of automatic control system V2Investment V of heat exchange station3And heat supply pipe network investment V4And the like. Wherein the drilling investment V1Closely related to the drilling depth d; drilling unit price V assuming that the drilling depth is consistent with the buried depth at the top of the reservoiru1The total investment of drilling is V1Can be expressed as:
V1＝Vu1×d×n1(2)
in the formula, n1Representing the number of wells required for a set of wells: if the development mode is 'one-mining-one-filling', n 12; if it is "one-mining two-irrigation", then n23. Investment of autonomous system V2And investment V of heat exchange station3The number of the automatic control systems required by the main and single group of wellsn2And the number n of heat exchange stations3Correlation, namely:
V2＝Vu2×n2(3)
V3＝Vu3×n3(4)
wherein, Vu2And Vu3Respectively representing the unit price of the automatic control system (ten thousand yuan/seat) and the unit price of the heat exchange station (ten thousand yuan/seat). Heat supply pipe network investment V4The unit length of the pipe network is Vu4(ten thousand yuan/m), the length of the pipe network controlled by a single group of wells is l4(m), according to numerical simulation results, it is usually 500. + -.50 m, then V4Can be expressed as:
V4＝Vu4×l4(5)
thus, the total initial investment V can be expressed as:
V＝V0+V1+V2+V3+V4
＝V0+Vu1×d×n1+Vu2×n2+Vu3×n3+Vu4×l4(6)
exploration investment V due to investment in each part0The method is the joint investment of different positions in the area, does not influence the economic comparison optimization in the area, and does not participate in the calculation temporarily; well drilling investment V1The key and major investment components in the total investment, and therefore for simplicity, the investment amplification factor α is set, representing the total initial investment as:
V＝α×V1＝α×Vu1×n1×d (7)
the amplification factor alpha can be 1-3 according to experience.
In the invention, the economic evaluation model mainly considers the income brought by district heating charge, and other income can be considered together if there is government subsidy, so the total annual income I of geothermal heating can be expressed as:
I＝I1+I’
＝Iu1×S+I’ (8)
in the formula Iu1Unit price (yuan/m) for representing geothermal heating charge2) The method can be determined according to the local actual heating charging condition; s represents the actual heating area (m)2) And I' represents other revenue, such as government subsidies, that does not include heating charges.
Wherein the heating area S is determined by the actual geothermal resource supply capacity and the heating power per unit area P (W/m)2) And heat exchange efficiency η, etc.:
S＝1000×Cw×Q×(T1-T0)×η/P/3600 (9)
in the formula, CwThe specific heat capacity of water (J/(kg. DEG C)). Thus, the total annual revenue can be expressed as:
I＝Iu1×S+I’
＝Iu1×Cw×Q×(T1-T0)×η/P/3.6/10000+I’ (10)
and the annual total cost C mainly comprises the annual operation and maintenance cost C1And resource tax cost C2Namely:
C＝C1+C2(11)
wherein the annual operation and maintenance cost C1Cost of heating mainly by year unit area Cu1And the heating area S, namely:
C1＝Cu1×S/10000 (12)
according to different zone conditions, usually Cu1Taking 8-15 yuan/m2(ii) a And resource tax cost C2Mainly related to the amount of geothermal water utilized, can be expressed as:
C2＝Cu2×m2/10000 (13)
in the formula, m2The total amount of geothermal water utilized on a representative year basis can be further expressed as:
m2＝Q×24×t (14)
t is the local annual heating days; therefore, the basic economic evaluation model can be expressed as:
SPP＝V/(I-C)＝(V0+Vu1×d×n1+Vu2×n2+Vu3×n3+Vu4×l4)/[(Iu1–Cu1)×Cw×Q×(T1-T0)×η/P/3.6/10000+24×Cu2×Q×t/10000+I’](15)
under the conditions that exploration investment, policy subsidy and other income are not considered and the cost is simplified in an amplification factor mode, the economic evaluation model can be simplified as follows:
SPP＝α×Vu1×d×n1/[(Iu1–Cu1)×Cw×Q×(T1-T0)×η/P/36000+0.0024×Cu2×Q×t](16)
let the total investment amplification factor per unit depth be α× Vu1×n1Annual unit area net income Iu’＝Iu1–Cu1Let the equivalent thermal capacity kw’＝Cw×η/P/36000 order equivalent resource tax rate Cu2’＝0.0024×Cu2× t, the economic assessment model can be further simplified as:
it can be seen that in a certain area the cost amplification factor α, unit price per linear meter of drilling Vu1The number n of wells required for a single group of wells1Heating charging unit price Iu1Specific heat capacity of water Cwη, heat exchange efficiency, P heating power per unit area, t heating period and C resource tax rateu2On the premise that the whole is constant, the SPP in the static recovery period mainly depends on the depth d of the top of the thermal storage, the water yield Q of a single well and the water outlet temperature T of the top of the storage layer1And return water temperature T0。
According to the economic evaluation model constructed by the invention, basic constant economic parameters (comprising a cost amplification factor α and a unit price per linear meter of drilling V) in the range of the region are inputu1The number n of wells required for a single group of wells1Heating charging unit price Iu1Specific heat capacity of water Cwη, heat exchange efficiency, P heating power per unit area, t heating period and C resource tax rateu2Etc.), form a defect onlyAn economic evaluation model of geothermal resource parameters, namely:
SPP＝f(d,Q,T1,T0) (13)
combining the regional reservoir top depth d distribution map and the reservoir top temperature T of the same grid density formed by S31Distribution map, surface temperature T0And establishing a functional relation through an economic evaluation model of only lacking geothermal resource parameters, and converting each geothermal resource parameter distribution graph into a geothermal heating economic parameter SPP distribution graph by using functional operation.
S5, developing an economic parameter profile based on the geotherm, and preferably selecting a region geotherm economic heating beneficial region.
By combining the formed regional geothermal heating economic parameter distribution diagram, the SPPs in the static recovery periods of all regions can be quantitatively compared and analyzed, and the position with the short static recovery period has the advantage of geothermal economic heating compared with the position with the long static recovery period; meanwhile, based on the geothermal heating economic parameter distribution diagram, the favorable area which is most suitable for geothermal economic heating in the area range can be intuitively optimized, and a solid data and data foundation is laid for the next geothermal exploration and development.
In order to make the quantitative evaluation method for geothermal heating economy of the district according to the present invention more comprehensible to those skilled in the art, the quantitative evaluation method for geothermal heating economy of the district according to the present invention will be described in detail below with reference to the flowchart (fig. 1) by taking the area a as an example.
Step one, acquiring basic data of regional geothermal resources;
obtaining sufficient and effective geothermal resource basic data is an important prerequisite for developing geothermal resources and economic evaluation. Based on parameters required by geothermal economic evaluation, aiming at geological survey and geothermal well drilling conditions of the area A, basic data of geothermal resources at different positions and different wells in the local area range are collected in advance, wherein the basic data mainly comprise the buried depth d (m) of the top of the geothermal reservoir in the area A and the temperature T of the top of the geothermal reservoir1(° c), surface temperature T0(° c), geothermal outlet water/vapor quantity Q (m)3H) and geothermal mining-irrigation mode, etc. WhereinThe area A has a small range, so that the whole area is only about 35.64km2Thus the surface temperature T0The change is not large, and the return water temperature can also be approximately taken as the ground surface temperature T015 ℃ is set; water yield Q (m)3H) may also be approximated as a constant, i.e. 100m3H; the local area mainly adopts a 'one-production one-irrigation' geothermal development mode, so that the total number of wells in a single group is n1＝2。
Step two, investigating and researching a local geothermal development mode and geothermal heating cost/income composition, and acquiring regional geothermal heating economical basic data;
the different geothermal heating modes and costs/incomes constitute direct decisions on the economics of local geothermal heating, so the initial investment, annual incomes and annual cost data for geothermal heating in area a need to be known in advance. Because the area A is small in range and belongs to the same political economic zoning range, the collected economic data are constants and mainly comprise: unit investment of well drilling Vu1(0.2 ten thousand yuan/m), total investment amplification factor α (namely the ratio of the total investment to the drilling investment, based on the actual working condition of the local area, the value is 2.0), and heating charging unit price Iu1(taking 19 yuan/m2) Annual operation and maintenance cost unit price Cu1(10 yuan/m)2) Heating power per unit area P (40W/m)2) Heat exchange efficiency η (90%), heating period t (120 days) and resource tax rate Cu2(5 yuan/m)3) Meanwhile, no other income such as government subsidies exists.
Step three, forming a regional geothermal heating basic data plane distribution diagram through interpolation and subdivision;
determining the range boundary of the area A, interpolating and subdividing the existing variable data according to the grid density of 500 × 500 by utilizing surfer mapping software in the research range according to the geothermal resources and the economic evaluation basic data collected in the step one and the step two, and finally obtaining the regional geothermal foundation or economic data plane distribution diagram1Therefore, a distribution graph (figure 2) of the top depth d of the geothermal reservoir in the area A and the top temperature T of the geothermal reservoir in the area A are mainly formed1Distribution diagram (FIG. 3)). Considering that the local area mainly utilizes 1 shallow geothermal reservoir, only 1 set of geothermal resource and economic data distribution map is drawn.
Combining an economic evaluation model to form a regional geothermal heating economic parameter plane distribution map;
the economic evaluation model constructed according to the invention inputs basic constant economic parameters (comprising a cost amplification factor α and a drilling unit price per linear meter V) of the area Au1The number n of wells required for a single group of wells1Heating charging unit price Iu1Specific heat capacity of water Cwη, heat exchange efficiency, P heating power per unit area, t heating period and C resource tax rateu2Etc.) (table 1):
TABLE 1A regional geothermal heating major constant parameter table
After substitution, an economic evaluation model of the A area lacking only geothermal resource parameters can be formed, namely:
combining the depth d distribution diagram of the reservoir top in the area A with the same grid density formed in the step three, as shown in figure 2, the temperature T of the reservoir top in the area A1The distribution diagram, as shown in fig. 3, establishes a functional relationship through an economic evaluation model of only lacking geothermal resource parameters, and converts each geothermal resource parameter distribution diagram into a geothermal heating economic parameter SPP distribution diagram by using functional operation, as shown in fig. 4.
Fifthly, evaluating the economy of regional geothermal economic heating based on the geothermal development economic parameter distribution diagram;
the formed SPP distribution diagram of the geothermal heating economic parameters of the area A can quantitatively compare and analyze the static recovery periods of different positions in the area A, and the position with a short static recovery period has the advantage of geothermal economic heating compared with the position with a long static recovery period, namely the east geothermal heating economical efficiency in the research area is the worst, and the economic performance of the whole body in the northwest direction and the southeast direction tends to be better; meanwhile, based on the SPP distribution diagram of the geothermal heating economic parameters, the beneficial area of the area A which is most suitable for the geothermal heating economic is intuitively selected to be the northwest part of the research area, and the beneficial area can lay a solid data and data foundation for the next geothermal exploration and development of the area A and the adjacent areas.
Those skilled in the art should understand that accurate acquisition of geothermal resources and development parameters is an important prerequisite for accurate economic evaluation of geothermal heating, and the accuracy and abundance of actual drilling and geological profile data can affect the accuracy of the economic evaluation of geothermal heating in the later period. Therefore, in order to ensure that the calculation result of the method can effectively guide the further expansion of the local and neighboring geothermal heating service, it is necessary to perform sufficient geothermal geological exploration and investigation work before economic evaluation, so that the obtained economic evaluation parameters have high reliability.
Claims (7)
1. A method for quantitatively evaluating the economics of geothermal heating of a region, comprising the steps of:
s1, acquiring regional geothermal resource basic data;
s2, acquiring the composition of a local geothermal development mode and geothermal heating cost and income, and acquiring regional geothermal heating economical basic data;
s3, forming a regional geothermal heating basic data plane distribution map by interpolation and subdivision based on the geothermal resource basic data obtained in S1 and the regional geothermal heating economical basic data obtained in S2;
s4, inputting basic constant economic parameters in a region range according to the regional geothermal heating economic efficiency evaluation model and the regional geothermal heating basic data plane distribution diagram obtained in the S3 to form an economic efficiency evaluation model only lacking geothermal resource parameters;
s5, establishing a functional relation through an economic evaluation model of only lacking geothermal resource parameters, and converting each geothermal resource parameter distribution map into a geothermal heating economic parameter SPP distribution map by using functional operation;
the regional geothermal heating economy evaluation model specifically comprises the following steps: constructing a geothermal heating economy evaluation model according to the composition of the investment, cost and income of regional geothermal heating;
the economic evaluation model comprises three indexes of initial investment V, annual total cost C and annual income I, and the basic model is as follows:
SPP＝V/(I-C)
in the formula, SPP is a static recovery period;
s6, evaluating the economy of regional geothermal economic heating based on the geothermal development economic parameter distribution diagram, quantitatively comparing and analyzing the SPP of each region, using the obtained static recovery period of each region as basic data of the next geothermal exploration and development, and determining the region most suitable for geothermal heating in the region according to the length of the static recovery period.
2. The method for quantitatively evaluating the economy of geothermal heating according to claim 1, wherein in S2, the basic data of geothermal resources including but not limited to the buried depth d at the top of the regional geothermal reservoir, the temperature T at the top of the geothermal reservoir and the basic data of geothermal resources at different positions and different wells in the regional scope are obtained according to the regional geological survey and the geothermal well drilling conditions1Final return water temperature T0The geothermal water/steam outlet quantity Q, the water/steam outlet quantity ratio r and the coordinate position of each datum.
3. The method for quantitatively evaluating the economy of geothermal heating according to claim 1, wherein in S3 the basic data of the economy of geothermal heating includes, but is not limited to, the investment per unit length V of the drilled wellu1And other unit investment VuiAnd a number niOther investment total V' or total investment amplification factor α, heating charging unit price Iu1Heating days per year t, and operation and maintenance cost per unit area per year Cu1Annual unit hot water resource tax cost Cu2Heating power per unit area P and heat exchange efficiency η.
4. The method for quantitatively evaluating the economy of geothermal heating according to claim 1, wherein in S3, the existing variable data are interpolated and subdivided according to the same grid density, and finally a regional geothermal foundation or economy evaluation data plane distribution diagram is obtained, including but not limited to regional earth surface temperature T0Profile, reservoir top depth d profile, reservoir top temperature T1Profile and reservoir water production Q profile.
5. The method for quantitatively evaluating the economy of geothermal heating of a region according to claim 1, wherein in S3, for a plurality of geothermal reservoirs related from top to bottom of the region, maps of the surface temperature of the region, the depth of the top of the reservoir, the temperature of the top of the reservoir, and the water yield of the reservoir are obtained for each reservoir.
6. The method for quantitatively evaluating the economics of geothermal heating according to claim 1 wherein in S4 the initial investment comprises an exploration investment V0Investment in drilling1Investment of automatic control system V2Investment V of heat exchange station3And heat supply pipe network investment V4(ii) a Wherein the drilling investment V1Closely related to the drilling depth d; investment of autonomous system V2And investment V of heat exchange station3The number n of the automatic control systems required by the main and single group of wells2And the number n of heat exchange stations3Correlation; heat supply pipe network investment V4It is mainly related to the pipe network distance; exploration investment V0Common investment for different positions in the area is realized, the comparison of economy in the area is not influenced,
the total initial investment V may be expressed as:
V＝V1+V2+V3+V4＝Vu1×d×n1+Vu2×n2+Vu3×n3+Vu4×l4
well drilling investment V1The above formula is simplified to be V- α× V for the key and main investment composition in the total investment1＝α×Vu1×n1×d；
The total annual cost C includes the annual operation and maintenance cost C1And resource tax cost C2；
Annual operation and maintenance cost C1Cost of heating per unit area per year Cu1Determined together with the heating area S, C1＝Cu1×S/10000；
The actual heating area S is determined by the actual geothermal resource supply capacity, the unit area heating power P and the heat exchange efficiency η, wherein S is 1000 × Cw×Q×(T1-T0)×η/P/3600，CwIs the specific heat capacity of water;
resource tax cost C2Associated with the quantity of geothermal water used, C2＝Cu2×m2/10000；m2Total amount of geothermal water for annual use;
m2q × 24 × t, t is the local number of days of heating per year, Q the amount of hot water/steam coming out;
SPP＝α×Vu1×d×n1/[(Iu1–Cu1)×Cw×Q×(T1-T0)×η/P/36000+0.0024×Cu2×Q×t]
if the total investment amplification factor per unit depth is α× Vu1×n1Net income per unit area of year Iu’＝Iu1–Cu1Let the equivalent thermal capacity kw’＝Cw×η/P/36000, equivalent resource tax rate Cu2’＝0.0024×Cu2×t；
The economic evaluation model is simplified as follows:
7. the method for quantitatively evaluating the economics of geothermal heating according to claim 1 wherein in S4, if local government subsidies are considered, the total annual revenue I of geothermal heating can be expressed as:
I＝I1+I’＝Iu1×S+I
in the formula Iu1Charging for geothermal heatingUnit price, I' is a local government subsidy.
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