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Campus Solar-plus-Storage Retrofit Priority Map

Spatial multi-criteria decision frameworks provide an analytical foundation for prioritizing distributed energy assets across built institutional environments. By synthesizing technical irradiance potential, structural rooftop suitability, and localized electrical demand profiles, institutions can strategically phase solar-plus-storage retrofit deployments to maximize grid resiliency and capital efficiency.

معاينة المستند

هذه معاينة موجزة. تتضمن النسخة الكاملة نصاً موسعاً لجميع الأقسام، وخاتمة، وقائمة مراجع منسقة.

Course Project

Degree:
Campus Solar-plus-Storage Retrofit Priority Map

Author:

Group

First M. Last

Advisor:

Dr. First Last

City, 2026

Contents

Introduction
1. Institutional Energy Baselines and Decarbonization Governance
1.1 Institutional Decarbonization Mandates and Energy Profiling
1.2 Structural, Rooftop, and Electrical Substation Constraints
2. Multi-Criteria GIS Framework and Implementation Controls
2.1 Spatial Multi-Criteria Decision Analysis Integration
2.2 Weighting Solar Irradiance, Demand Load, and Grid Interconnection
3. Priority Mapping Evaluation and Retrofit Suitability
3.1 Spatial Distribution of Rooftop and Ground-Mount Suitability
3.2 Resiliency and Demand-Offset Comparative Performance
4. Phased Rollout Strategies and Capital Allocation Roadmap
4.1 Actionable Implementation Matrix for High-Priority Assets
4.2 Infrastructure Investment Sequencing and Grid Integration
Conclusion
Bibliography

Introduction

Strategic deployment of solar photovoltaic and energy storage assets across higher education campuses serves as a pivotal mechanism for accelerating institutional decarbonization and enhancing local grid stability. Urban and institutional environments frequently face complex physical constraints, varying load demands, and land availability limitations that require structured spatial screening approaches [1]. Integrating renewable infrastructure effectively demands rigorous prioritization models that balance resource availability with localized institutional requirements [6].

Traditional clean energy planning often focuses exclusively on raw solar irradiance potential while neglecting spatial variations in per-building electrical consumption and interconnection feasibility. This disconnection leads to suboptimal capital deployment and transmission inefficiencies across institutional microgrids [2]. Developing an integrated spatial decision model resolves these operational mismatches by coupling physical geospatial parameters with dynamic electrical demand criteria [1].

This project establishes a spatial multi-criteria decision framework to generate a solar-plus-storage retrofit priority map for campus infrastructure. Utilizing spatial multi-criteria decision analysis and analytical hierarchy methods, the framework evaluates structural viability, solar insolation, and localized power demands [2], [6]. The resulting spatial artifact equips campus facilities planners with a robust, data-informed sequencing schedule for capital energy investments.

Actionable Implementation Matrix for High-Priority Assets

Institutions must establish an actionable implementation framework that prioritizes distributed solar-plus-storage retrofits by balancing spatial infrastructure constraints with localized energy consumption patterns. Grounding deployment sequencing strictly in technical solar irradiance neglects the critical operational requirements of facility loads. As established in multi-criteria spatial evaluations, incorporating electrical demand alongside solar irradiance provides a robust decision-support foundation that minimizes transmission losses and enhances grid integration across heterogeneous built environments (Spatial Analysis and Prioritization of Solar Energy Development in South Khorasan Province, Iran, 2026). Consequently, the campus retrofit framework assigns primary operational weighting to facilities exhibiting high baseline load profiles and proximity to critical distribution nodes. Furthermore, physical spatial parameters, including rooftop orientation, structural slope, distance to the electrical grid, and local surface accessibility, dictate the immediate technical feasibility of small-scale installations across decentralized assets (Assessing Suitable Areas for Small-Scale Solar Photovoltaic Systems in Urban Informal Settlements, 2026). Integrating these physical parameters with demand metrics ensures that capital allocation targets buildings capable of immediate energy absorption, thereby avoiding grid congestion and reducing reliance on centralized feeder lines. The resulting priority matrix directs phased investments toward institutional facilities where decentralized photovoltaic panels and battery storage can directly offset localized peak electricity requirements. Applying this spatial multi-criteria decision workflow enables institutional planners to sequence retrofit projects systematically, directing capital toward high-impact facilities while maintaining electrical reliability across the broader campus network without overextending existing distribution infrastructure.

References

  1. Assessing Suitable Areas for Small-Scale Solar Photovoltaic Systems in Urban Informal Settlements: A GIS-AHP Multi-Criteria Decision Approach
    Keren-Happuch Obeku, James Nguyen H. Spencer
    رابط DOI
  2. 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.
    رابط DOI
  3. Multi-criteria decision-making for selecting a solar farm location to supply energy to reverse osmosis devices and produce freshwater using GIS in Iran
    Marziyeh Razeghi, Ahmad Hajinezhad, Amir Naseri et al.
    رابط DOI
  4. An Upgraded GIS-based Multi-criteria Decision-making Approach for Flood Control Prioritization Mapping: Case Study of West Dallas-Fort Worth Metroplex
    Yufan Zhang, Fouad Jaber
  5. GIS-based Multi-Criteria Decision Analysis for landslide susceptibility mapping at northern Evia, Greece
    Theodosios R.H. Kritikos, Timohty R.H. Davies
  6. Multi‐Criteria Decision Analysis‐Based Solutions for the Installation of Photovoltaic (<scp>PV</scp>) Solar Power Plants in an Energy Deficit State of India: An Effort Toward <scp>SDG</scp>‐7 (Affordable and Sustainable Energy)
    Debanu Ghosh, Suman Sinha, Tarun Pratap Singh et al.

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