Abstract

Through the integration of multiple energy carriers with related technologies, multi-energy systems (MES) can exploit the synergies coming from their interplay for several benefits towards decarbonization. In such a context, inclusion of Power-to-X technologies in periods of excess renewable electricity supply, removes the need for curtailment of renewable electricity generation. In order to achieve the environmental benefits of MES without neglecting their economic feasibility, the optimal design problem is as crucial as challenging and requires the adoption of a multi-objective approach. This paper extends the results of a previous work, by investigating hydrogen-based non-conventional storage for PV power in the eco-energetic optimization of an MES. The system under study consists of a reversible fuel cell (r-SOC), photovoltaic (PV), electric heat pump, absorption chiller and thermal storage, and allows satisfying the multi-energy needs of a residential end-user. A multi-objective linear problem is established to find the optimal MES configuration including the sizes of the involved technologies with the goal of reducing the total annual cost and the fossil primary energy input. Simulation results are compared with those obtained in previous work with a conventional nanogrid where a combined heat and power (CHP) system with gas-fired internal combustion engine and a battery were present instead of an r-SOC. The optimized configuration of the non-conventional nanogrid allows achieving a maximum primary energy reduction amounting to 66.3%, compared to the conventional nanogrid. In the face of the environmental benefits, the non-conventional nanogrid leads to an increase in total annual costs, which, compared to the conventional nanogrid, is in the range of 41–65%.

Highlights

  • The Green Deal has set a new European strategy for transforming the Union into a modern, resource-efficient and competitive economy, in which by 2050 there will no longer be generation of net greenhouse gas emissions and economic growth will no longer be associated with the use of resources

  • Conclusions thispaper, paper,aahydrogen-based hydrogen-basednon-conventional non-conventional electricity storage genIn this electricity storage forfor generaeration is investigated under an eco-energetic optimization an for for residential tion is investigated under an eco-energetic optimization of an of residential appliapplications, by extending the results of a previous where a conventional nanogrid cations, by extending the results of a previous workwork where a conventional nanogrid was was analyzed

  • Based on a pre-fixed Multi-energy systems (MES) superstructure, a multi-objective linear problem was formulated through an mixed-integer linear linear programming (MILP) approach to find the optimal MES configurations in terms of types and sizes of the involved technologies with the aim to reduce a weighted sum of the total annual cost and the fossil primary energy input, while meeting the timevarying multi-energy demand of the user

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Summary

Introduction

The Green Deal has set a new European strategy for transforming the Union into a modern, resource-efficient and competitive economy, in which by 2050 there will no longer be generation of net greenhouse gas emissions and economic growth will no longer be associated with the use of resources. Multi-energy systems (MES), based on the integration of multiple energy carriers with related technologies are considered a sustainable energy supply option as compared to traditional fossil-fuel based centralized systems, being able to act supporting EU objectives of decarbonization, penetration of RES and electrification of energy demand [2]. The MES are usually composed of combined heat and power systems (CHPs), RES technologies and electricity and thermal storage units used to cover the users’ energy demand [4]. Hydrogen together with electricity can act in support of decarbonization by serving as an alternative storage of RES electricity via electrolyzers, and, at the same time, as a fuel for generating electricity and heat [7,8,9]

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