Modelling and optimization of the smart hybrid renewable energy for communities (SHREC)

Abstract

Keywords:Optimization Smart Renewable energy Energy storage Combined heat and power (CHP) Energy efficiency a b s t r a c t The future energy system in community level should be more 'smart' to secure reliability, enhance market service, minimize environmental impact, reduce costs and improve the use of renewable energy source (RES). Therefore, this paper proposes an energy integration system e smart hybrid renewable energy for communities (SHREC). It considers both thermal (heating and cooling) and electricity market in a large community level and highlight the interactions between them through utilizing RES, combined heat and power (CHP) and energy storages. A planning model based on CHP modelling is developed for the SHREC system. A linear programming (LP) algorithm is developed to optimize the SHREC system in a weekly period and the results are compared with an existing energy optimization software. We also demonstrate the model in a sample SHREC system during three typical weeks with cold, warm and midseason weather in the year 2011. The results indicate that the developed modelling and optimization method is more efficient and flexible for the smart hybrid renewable energy systems.

Sizing of a stand-alone microgrid considering electric power, cooling/heating and hydrogen

“…A constant ratio is used to represent the relation between electricity output and heat output. In [10], authors also present an LP algorithm to optimize the operation of smart hybrid renewable energy communities. In [11], authors present a mixed integer nonlinear programming (MINP) model for optimal sizing of a residential CHP system, aiming to minimize the overall cost.…”

Optimal Operation of Combined Heat and Power System Based on Forecasted Energy Prices in Real-Time Markets

“…The heat and electricity outputs of CHP must vary between their maximum and minimum capacities, respectively: # H CHP,min ď H CHP pkq ď H CHP,max E CHP,min ď E CHP pkq ď E CHP,max (18) where H CHP,min and H CHP,max are allowable minimum and maximum heat outputs of CHP; E CHP,min and E CHP,max are the allowable maximum electricity outputs of CHP.…”

“…The results show the cost reductions for the households reach their highest when the real-time energy prices fluctuate strongly. Reference [18] proposes a smart hybrid renewable energy for communities (SHREC) system, where both thermal and electricity markets are considered. A planning model is developed for the SHREC system and optimized by using the LP algorithm, whose effectiveness and flexibility are verified through specific calculation results.…”

Modelling and optimization of CHP based district heating system with renewable energy production and energy storage

“…Moreover, the intermittent and non-controllable nature of RES should be considered by fulfilling users' demand with other controllable sources. Thermal energy storage (TES) is often used for exploiting the RES [10,11].…”