Open research Europe · 2025
A smart energy service for the commercial rented sector: decision making points and business model considering the learnings from the pilot sites of the SmartSPIN project in Ireland, Spain and Greece.
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De Tommasi Luciano, Agrawal Ruchi, Lyons Padraig
Аннотация
BACKGROUND: This paper presents an evaluation of a smart energy service for the commercial rented sector, highlighting the key decision-making points in relation to energy performance contracting. The work was developed during the European Commission's Horizon 2020 funded research project SmartSPIN - Smart energy services to solve the SPlit INcentive problem in the commercial rented sector.
METHODS: The perspectives of building owner, energy service company (energy service provider) and renters, are examined using a quantitative model that enables to evaluate the Net-Present-Value of the energy efficiency project for each party, considering the contract duration, energy cost savings, energy prices, investment costs and operation and maintenance costs. The business model for the proposed smart energy service is designed using the Business Model CANVAS, whereas its value proposition is designed using the Value Proposition CANVAS.
RESULTS RESEARCH GAP AND ORIGINALITY OF THE PROPOSED APPROACH: The results of the paper contribute to the existing body of literature in two main ways. First, a quantitative model highlighting the key variables that determine the contractual arrangements and profitability of a performance contract for the parties is thoroughly analysed. Second, a business model for the proposed smart energy service is developed by applying the Business Model Canvas and the Value Proposition Canvas frameworks. This addresses a notable gap in the literature, as no prior studies have established a similar business model in the context of commercial rental properties using the proposed methodology.
CONCLUSIONS: This paper shows how a smart energy service for improving the energy efficiency and flexibility in commercial rented buildings can be successfully designed and deployed, enabling to overcome the split incentive issue, which is the situation where landlords bear the cost of energy efficiency improvements, but tenants receive the financial benefits of reduced energy bills, discouraging investment.
METHODS: The perspectives of building owner, energy service company (energy service provider) and renters, are examined using a quantitative model that enables to evaluate the Net-Present-Value of the energy efficiency project for each party, considering the contract duration, energy cost savings, energy prices, investment costs and operation and maintenance costs. The business model for the proposed smart energy service is designed using the Business Model CANVAS, whereas its value proposition is designed using the Value Proposition CANVAS.
RESULTS RESEARCH GAP AND ORIGINALITY OF THE PROPOSED APPROACH: The results of the paper contribute to the existing body of literature in two main ways. First, a quantitative model highlighting the key variables that determine the contractual arrangements and profitability of a performance contract for the parties is thoroughly analysed. Second, a business model for the proposed smart energy service is developed by applying the Business Model Canvas and the Value Proposition Canvas frameworks. This addresses a notable gap in the literature, as no prior studies have established a similar business model in the context of commercial rental properties using the proposed methodology.
CONCLUSIONS: This paper shows how a smart energy service for improving the energy efficiency and flexibility in commercial rented buildings can be successfully designed and deployed, enabling to overcome the split incentive issue, which is the situation where landlords bear the cost of energy efficiency improvements, but tenants receive the financial benefits of reduced energy bills, discouraging investment.