Abstract
This paper presents a computationally efficient novel heuristic approach for solving the combined heat and power economic dispatch (CHP-ED) problem in residential buildings considering component interconnections. The proposed solution is meant as a substitute for the cutting-edge approaches, such as model predictive control, where the problem is a mixed-integer nonlinear program (MINLP), known to be computationally-intensive, and therefore requiring specialized hardware and sophisticated solvers, not suited for residential use. The proposed heuristic algorithm targets simple embedded hardware with limited computation and memory and, taking as inputs the hourly thermal and electrical demand estimated from daily load profiles, computes a dispatch of the energy vectors including the CHP. The main idea of the heuristic is to have a procedure that initially decomposes the three energy vectors’ requests: electrical, thermal, and hot water. Then, the latter are later combined and dispatched considering interconnection and operational constraints. The proposed algorithm is illustrated using series of simulations on a residential pilot with a nano-cogenerator unit and shows around 25–30% energy savings when compared with a meta-heuristic genetic algorithm approach.
Highlights
Buildings equipped with multi-energy systems are an increasing trend due to the high energy efficiencies that could be achieved
By 2018, the share of heat produced from gas increased to 40% and the share of heat from oil decreased to 42%, but, despite this switch, CO2 emissions related to the heating sector increased by 6.4% [18]
Step 5 As a last resort, if QDH (k) at a certain time is so large it can not be satisfied with the storage, the generation units, the thermal resistor, and the heat pump, the combined heat and power (CHP) will be set to ON state to meet the requested heat demand
Summary
Muhammad Faisal Shehzad 1, * , Mainak Dan 2 , Valerio Mariani 1 , Seshadhri Srinivasan 3 , Davide Liuzza 4 , Carmine Mongiello 5 , Roberto Saraceno 6 and Luigi Glielmo 1. Fusion and Technology for Nuclear Safety and Security Department, Italian National Agency for
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