SizingHPandStorageToMaximizeSelfConsumption test system model implementation - title

Sizing HPand Storage To Maximize Self Consumption Test System Model Implementation

SizingHPandStorageToMaximizeSelfConsumption test system model implementation - overview

Test System Model Implementation Overview

Author / organization: Sami Ghazouani and Mickael Rousset / EDF

Implemented Component Models / Implementation Tool:

Implementation Approach: Monolithic

Test Parameters of Test System Model :

Test paprameters of Greenhouse, Residential building, Tertiary building, Solar photovoltaic panel, further details see D4-3 Description of optimization strategies.pdf

Outputs/Measured Parameters:

Output parameters of District heating network, Greenhouse utility, Buildings utility, Heat pump, Storage tank, further details see D4-3 Description of optimization strategies.pdf

Initial State of Test System Model: -

Temporal Resolution:

For each consumer (residential and tertiary buildings, greenhouse) and producer (PV) an hourly data set over one year is given. Out of this data set, averaged generic days for 3 significant periods of time are extracted (winter, mid-season, summer). The resulting data sets have an hourly resolution

Related System Configuration

Collectopia System Configuration

Related Test Case

Sizing HPand Storage To Maximize Self Consumptionn

Related Use Case

UC12 – Maximize use of local resources

SizingHPandStorageToMaximizeSelfConsumption test system model implementation - short description

Short Description

This system aims to optimize the design of a district’s infrastructure in order maximize the use of renewable energy sources – such as waste heat from a greenhouse and solar PV – in the energy mix of the district’s energy supply (thermal and electrical).

In order to find the optimal storage tank and heat pump designs to maximize self-consumption and heat recovery, data for a full year is required. However, given the complexity of the optimization model, it in infeasible to use a whole year worth of data. Therefore, the data is aggregated into a reduced set of relevant, generic days that most accurately represent the general behaviour of each consumer and renewable energy production system (greenhouse and PV).

The more generic days are used, the bigger the problem gets (which potentially implies longer computational times), but the solution gets more accurate. The objective is to evaluate the relevance of using 3 relevant generic days per year.

SizingHPandStorageToMaximizeSelfConsumption test system model implementation - source code

Source Code of the Implemented Result Object

Please contact:

Name: Sami Ghazouani and Mickael Rousset / EDF

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SizingHPandStorageToMaximizeSelfConsumption test system model implementation - evaluation

Evaluation of System State and Test Signal

The actuation of the HP, HS, DHN and PV and are determined by the optimizer.