従来型キャンパスグリッドから最適化HRESマイクログリッドへ：インド・シヴァージ大学における再生可能エネルギー統合のグリッド制約付き技術経済・環境評価
From conventional campus grid to optimized HRES microgrid: a grid-constrained techno-economic and environmental assessment of renewable energy integration at Shivaji University, India (原題)
Amit Chandrakant Kamble, Himmat Tukaram Jadhav
🤖 gxceed AI 要約
日本語
インド・シヴァージ大学を対象に、既存PVから最適化ハイブリッド再生可能エネルギーシステム（HRES）マイクログリッドへの段階的移行を評価する枠組みCMR-ESAFを開発。NSGA-III多目的最適化によりPV増設・風力・蓄電池・DSM・EMSを統合した構成を導出し、グリッド依存度67.8%削減、ピーク需要35.6%抑制、再エネ比率72.3%を達成。年間電力コストは4.136億ルピーから1.457億ルピーへ減り、均等化コスト4.85ルピー/kWh、単純回収期間6.4年と試算。
English
This study presents CMR-ESAF, a framework for planning a university campus's transition from grid dependence to an optimized hybrid renewable energy system (HRES) microgrid, applied at Shivaji University, India. Using an adapted NSGA-III many-objective optimization, the selected design (1580 kW PV, 150 kW wind, 500 kW/1500 kWh BESS, 130 kW DSM) cuts grid import 67.8%, peak demand 35.6%, and reaches a 72.3% renewable fraction. Annual utility cost falls from INR 413.6 to 145.7 lakh, with LCEC of INR 4.85/kWh and a 6.4-year simple payback.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の大学・公共施設でも脱炭素化とコスト削減を両立する段階的マイクログリッド計画の参考になる。特に既存PVの価値と追加投資の便益を分離する枠組みは、Scope2削減や再エネ調達計画の立案に示唆を与える。
In the global GX context
Adds a replicable staged-transition framework to global campus and institutional decarbonization literature, separating the value of installed PV from incremental HRES/storage/DSM benefits. Relevant to Scope 2 reduction planning and behind-the-meter renewable procurement under tightening disclosure regimes.
👥 読者別の含意
🔬研究者:段階的移行状態を分離し多目的最適化で評価する手法は、施設規模の脱炭素計画研究に応用できる。
🏢実務担当者:既存PVの貢献と追加HRES・蓄電池・DSM投資の増分便益を切り分ける計画手法として、キャンパス・事業所の再エネ調達計画に使える。
🏛政策担当者:公共施設・大学のマイクログリッド化によるピーク抑制と系統負荷軽減の定量的根拠を提供する。
📄 Abstract（原文）
Abstract Higher-education campuses are well suited to staged decarbonization because they combine concentrated electrical demand, substantial rooftop area, diverse load flexibility, and long-term institutional ownership of energy assets. This study develops a Campus Microgrid Renewable Integration and Energy-Saving Assessment Framework (CMR-ESAF) for planning the transition of Shivaji University, India, from grid-dependent operation to an optimized hybrid renewable energy system (HRES) microgrid. Unlike a greenfield sizing study, the framework explicitly separates three transition states: S0, a grid-only reference; S1, the existing campus with 930 kW of rooftop photovoltaic (PV) capacity; and S2, an optimized HRES incorporating PV expansion, supplementary wind generation, battery energy storage (BESS), demand-side management (DSM), and energy-management-system (EMS) dispatch under grid and campus-network constraints. The S2 planning problem is solved using an adapted NSGA-III many-objective framework with normalized constraint handling, dynamic feasibility relaxation, reference-vector association, dual archives, and fuzzy best-compromise selection. Under the stated annual hourly simulation assumptions, S0 requires 3650 MWh/yr of grid electricity, emits 2993 tCO $$_2$$ 2 /yr, and reaches a maximum demand of 1080 kVA. S1 lowers grid import to 2430 MWh/yr, corresponding to a 33.4% reduction in grid dependency and 1000.4 tCO $$_2$$ 2 /yr of avoided emissions. The selected S2 configuration comprises 1580 kW total PV, 150 kW wind DG, a 500 kW/1500 kWh BESS, and 130 kW of DSM participation. It reduces grid import to 1175 MWh/yr and maximum demand to 695 kVA, yielding a 67.8% grid-dependency reduction, 35.6% peak-demand mitigation, 72.3% renewable fraction, and 65.8% renewable self-sufficiency. The modeled annual utility cost decreases from INR 413.6 to 145.7 lakh/yr; the corresponding planning estimate gives a levelized campus electricity cost (LCEC) of INR 4.85/kWh and a simple payback period of 6.4 years. The principal contribution is a replicable transition framework that distinguishes the value already delivered by installed PV from the incremental benefit of coordinated HRES, storage, DSM, and EMS investment.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s44438-026-00041-3first seen 2026-10-31 04:47:30 · last seen 2026-11-06 04:35:39
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