Risk-Aware Integration of Photovoltaics and Battery Storage into Human–Cobot Manufacturing: A Digital-Twin-Ready Co-Optimization Model for Sustainable Industrial Transition
Artykuł w czasopiśmie
MNiSW
100
Lista 2024
| Status: | |
| Autorzy: | Kański Łukasz, Pizoń Jakub |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2026 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 19 |
| Wolumen/Tom: | 18 |
| Strony: | 1 - 23 |
| Impact Factor: | 4,1 |
| Scopus® Cytowania: | 0 |
| Bazy: | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 2 października 2026 |
| Abstrakty: | angielski |
| The increasing penetration of variable renewable energy requires industrial facilities to manage energy supply, production flexibility, and cost exposure simultaneously. This study develops a risk-aware model for the co-optimization of human–cobot production scheduling, on-site photovoltaic generation, and battery energy storage within a digital- twin-ready decision environment. The artifact is an offline prescriptive model; it is not connected to a physical production system and does not include automatic or real-time data exchange. A two-stage computational experiment was conducted using mixed-integer linear programming with conditional value-at-risk and an out-of-sample Monte Carlo simulation comprising 1000 independent daily scenarios of electricity prices, photovoltaic generation, and grid carbon intensity. Five strategies were compared: grid-only supply, photovoltaic generation, photovoltaics with battery storage, risk-neutral co-optimization, and risk-aware co-optimization. Relative to the modeled baseline, the risk-neutral variant reduced mean daily operating cost by 59.2%, operational emissions by 46.1%, and grid- energy use by 48.3%, without delaying production. The risk-aware variant reduced the CVaR95 of daily cost by a further 2.6% relative to the risk-neutral solution, at a 4.2% increase in mean cost. These percentages are scenario-specific operational effects rather than plant- level, annual, or life-cycle estimates. A screening-level investment assessment indicates that economic viability remains contingent on site-specific capital costs, operating days, tariffs, and implementation expenditure. The findings show that scheduling flexibility is a resource of energy transition, while risk aversion should be calibrated explicitly as a managerial decision. |
