2.3. Spatial Structuring of Information To evaluate geothermal integration feasibility, a geospatial database was structured integrating: (1) geological resource supply, (2) operational energy demand, and (3) socio-environmental restrictions. Data collection prioritized official government sources and audited corporate reports to ensure predictive modeling reliability, as detailed in Table 2. Table 2 – Technical inventory of variables for assessing geothermal-mining integration. Dimension Variable / Data Description and Technical Relevance Source SUPPLY (Geothermal Resource) Geothermal Resource Thermal Sources: Surface temperature. Manifestations (e.g., Calientes, Tacna >85°C). INGEMMET (GEOCATMIN) Geothermomete rs Fluid geochemistry (SiO2, Na-K-Ca) reservoir temperature (>150°C high enthalpy). Bulletins B and C (INGEMMET) Lithology and Structures Identification of cap rocks (clays) and permeable faults (NW-SE). National Geological Chart (1:100k) Fluid Chemistry Concentration of critical minerals in brines (Lithium, Boron, Potassium). INGEMMET Technical Reports DEMAND (Mining Operation) Mining Cadastre Beneficiation concessions. Determines legal overlap with thermal areas. INGEMMET / SIDEMCAT Thermal Consumption Energy demand in boilers, drying, and solution heating (Diesel/Bunker spend). OSINERGMIN / ESG Company Reports Electrical Infrastructure Proximity to Substations and Transmission Lines (SEIN). OSINERGMIN (Energy Map) RESTRICTIO NS (Viability) Protected Natural Areas Exclusion zones (National Parks, Reserves) restricted drilling. SERNANP (Geo ANP) Social Thermal Deficit Minimum temperature in surrounding populated centers. District heating projects. SENAMHI (Frost Maps) Note: SENAMHI (National Service of Meteorology and Hydrology), SERNANP (National Service of Natural Areas Protected by the State), OSINERGMIN (Supervisory Agency for Investment in Energy and Mining). 3. METHODOLOGY The study adopts a quantitative and analytical-correlational approach structured in three phases: resource characterization, spatial demand analysis, and techno-economic modeling. Phase 1: Trend Analysis and Technology Selection Global technological evolution (WGC 1995-2020 series) was systematically reviewed to establish design criteria in the Andean context. The "Asian Model" (Philippines and Indonesia) was validated to discriminate technologies based on enthalpy, prioritizing Flash or Binary systems depending on the reservoir. 130
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