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Campus Heat-Pump Retrofit Priority Map

Spatial multi-criteria evaluation of university building stocks enables targeted heat-pump retrofitting by balancing thermal demand intensity, spatial feasibility, and electrical distribution constraints. Integrating thermo-economic simulation with geographic mapping identifies optimal transitional pathways to replace legacy fossil heating assets systematically across campus districts.

Målet med arbejdet

Develop a spatial multi-criteria heat-pump retrofit priority map and staged deployment roadmap for institutional campus building stocks.

Dokument Forhåndsvisning

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Course Project

Degree:
Campus Heat-Pump Retrofit Priority Map

Author:

Group

First M. Last

Advisor:

Dr. First Last

City, 2026

Contents

Introduction
1. Institutional Decarbonisation Context and Building Portfolio Assessment
1.1 Campus Thermal Profiles and Fossil Heating Baselines
1.2 Spatial and Structural Feasibility Criteria for Heat-Pump Conversion
2. GIS-MCDA Framework and Technical Deployment Controls
2.1 Spatial Multi-Criteria Decision Model Architecture
2.2 District Substation Constraints and Hydronic Distribution Integration
3. Multi-Scenario Feasibility Metrics and Energy Performance Results
3.1 Demand-Side Thermal Response and Operational Electrification Impact
3.2 Spatial Clustering of High-Priority Retrofit Zones
4. Phased Implementation Strategy and Campus Rollout Roadmap
4.1 Multi-Year Capital Staging and Grid Interconnection Governance
4.2 Monitoring Protocols and Institutional Asset Management Integration
Conclusion
Bibliography

Introduction

Decarbonisation of institutional building portfolios requires strategic electrification of heating systems to transition away from fossil-fueled infrastructure. Campus thermal networks present complex variations in building age, insulation quality, and distribution temperatures, necessitating spatial decision-support tools that integrate building energy simulations with spatial multi-criteria analysis [2], [4].

Standard retrofit strategies often suffer from fragmented capital allocation when individual facility interventions are scheduled without regard to district-level electrical capacity and ground-source feasibility [1], [3]. Evaluating multi-building portfolios through spatial thermal modeling allows facility directors to align boiler phase-out timelines with renewable supply potential and distribution upgrades [4], [5].

This project establishes a spatial prioritization framework for university campus heat-pump retrofits using multi-criteria geographic analysis and building performance criteria [1], [2]. The resulting decision artifact guides staged capital investment to maximize primary energy reduction while maintaining campus grid stability.

2.1 Spatial Multi-Criteria Decision Model Architecture

Phasing out fossil heating assets across university facilities requires a systematic, spatial multi-criteria decision framework to establish clear retrofit sequencing. Institutional estate managers must justify capital allocations by evaluating building thermal demands, spatial constraints, and existing heating systems. Practical deployment prioritizes facilities where air-source heat pumps can replace legacy condensing gas boilers effectively ("Simulation-based Evaluation of Air-Source Heat Pump Retrofit to Phase-out Condensing Gas Boilers", 2024). Decision-makers structure the screening process by cross-referencing building age, heating distribution configurations, and installation feasibility against institutional decarbonisation targets. To implement this workflow without arbitrary intervention choices, estate management applies geographic information system mapping combined with thermo-economic evaluation parameters ("Thermo-economic modeling and GIS-based spatial data analysis", 2017). Spatial data layers account for physical layout constraints, local electrical substation access, and ambient thermal conditions. By ranking individual building zones through spatial multi-criteria layers, technical teams identify which campus sectors provide the highest readiness for heat-pump retrofitting before committing institutional capital and construction budgets. The expected practical application of this geospatial prioritization tool guides multi-year capital staging and coordinates district-level hydronic modifications across campus sectors. Facility directors use the resulting spatial priority map to schedule detailed engineering reviews, phase out aging boiler equipment systematically, and align electrification interventions with electrical distribution network capacity. This spatial decision-making methodology ensures that heat-pump conversions progress logically from high-feasibility target zones to more complex architectural assets across the university portfolio.

References

  1. Thermo-economic modeling and GIS-based spatial data analysis of ground source heat pump systems for regional shallow geothermal mapping
    Younes Noorollahi, Hamidreza Gholami Arjenaki, Roghayeh Ghasempour
    DOI-link
  2. Simulation-based Evaluation of Air-Source Heat Pump Retrofit to Phase-out Condensing Gas Boilers. Case Study of Campus Building in Ireland
    Larkin, Gavin, Blanes Restoy, Luis Miguel, Keane, Marcus
    DOI-link
  3. An Integrated AI–GIS–MCDM Framework for Spatial Prioritization of Urban Heat Island Mitigation Strategies in Bengaluru
    syeda Nazneen Zahara
    DOI-link
  4. Scenario-Based Analysis of Energy Retrofit Strategies and Their Impacts on Building Energy Demand Using a Validated Multi-Building Energy Model: A University Campus Case Study
    Hamed Mohseni Pahlavan, Natasa Nord
  5. Spatial Analysis and Prioritization of Solar Energy Development in South Khorasan Province, Iran: An Integrated GIS and Multi-Criteria Decision Analysis Framework
    Mohammad Eskandari Sani, Amir Hossin Nazari, Mostafa Fadaei et al.
  6. Mapping the distribution of the White-tailed deer in Minnesota using multi-criteria analysis and spatial disagregation in GRASS GIS
    Paulo van Breugel

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