How to optimize PV collective self-consumption projects?
Jordi Cipriano, Flor Lazzari, Gerard Laguna
EKATE Action 4
May 20th, 2022
Two procedures have been practised in EKATE
Jordi C., Flor L., Gerard L, EKATE séminaire
1. To optimize Renewable Energy Communities (REC) both in the design and operation stages via optimal energy allocation
2. To minimize solar excess in a REC of 2 public buildings, through Model predictive Control (MPC) of the AC system
Jordi C., Flor L., Gerard L- EKATE séminaire
Optimization of REC via optimal energy allocation
Development of a tool to assist in the planning and operation of RECs seeking to:
1. Extract maximum potential of RES
2. Economic profitability for all participants
Motivation
Jordi C., Flor L., Gerard L- EKATE séminaire
Optimization of REC via optimal energy allocation
- Determined a priori
- Updated every 4 months
$$\beta_1$$
$$\beta_3$$
$$\beta_2$$
Spanish legal framework
Jordi C., Flor L., Gerard L- EKATE séminaire
Optimization of REC via optimal energy allocation
Methodology
Jordi C., Flor L., Gerard L- EKATE séminaire
Optimization of REC via optimal energy allocation
How? Genetic Algorithm
Jordi C., Flor L., Gerard L- EKATE séminaire
Optimization of REC via optimal energy allocation
1. Optimization of selection
Jordi C., Flor L., Gerard L- EKATE séminaire
Optimization of REC via optimal energy allocation
2. Optimization of allocation
Jordi C., Flor L., Gerard L- EKATE séminaire
Optimization of REC via optimal energy allocation
Case study: public buildings in BCN
128 buildings as participants; 7 solar PV installations
Comparison among 3 criteria:
1. Profitable: The selection of participants is random
The energy allocation is based on investment
1. Sustainable: The selection of participants is random
The energy allocation is based on investment
1. Optimized The selection of participants & energy
allocation is made using the optimization
Jordi C., Flor L., Gerard L- EKATE séminaire
Optimization of REC via optimal energy allocation
Case study: public buildings in BCN
Jordi C., Flor L., Gerard L- EKATE séminaire
Optimization of REC via optimal energy allocation
Case study: public buildings in BCN
Jordi C., Flor L., Gerard L- EKATE séminaire
Optimization of REC via optimal energy allocation
Case study: public buildings in BCN
Jordi C., Flor L., Gerard L- EKATE séminaire
Optimization of REC via optimal energy allocation
Conclusions
Jordi C., Flor L., Gerard L.-CIMNE
Minimize solar excess through MPC of AC
Optimize a REC by minimizing solar excess:
- Through advanced control (MPC) of the AC system
- REC : 1 solar PV system (61 kW) & 2 public buildings
Motivation
Jordi C., Flor L., Gerard L.-CIMNE
Minimize solar excess through MPC of AC
Why MPC ?
MPC in buildings is a procedure to determine the optimal building operation by:
- Forecasting multiple scenarios
- Evaluating these scenarios
To do so, we need :
● Models of the Energy performance of buildings
● Score function
Jordi C., Flor L., Gerard L.-CIMNE
General methodology
1 . Predicted 'Business as Usual (BaU)' consumption scenario
2. Optimise the consumption based on some penalty or activation signal (generated solar PV)
3. The building uses the control signal sent by the controller, and consume certain amount of energy
MPC
Minimize solar excess through MPC of AC
Jordi C., Flor L., Gerard L.-CIMNE
Monitoring and control system:
Minimize solar excess through MPC of AC
Jordi C., Flor L., Gerard L.-CIMNE
Minimize solar excess through MPC of AC
Actuation tests (night & weekends)
Jordi C., Flor L., Gerard L.-CIMNE
Minimize solar excess through MPC of AC
Temperature and energy modeling
Jordi C., Flor L., Gerard L.-CIMNE
Minimize solar excess through MPC of AC
MPC modeling
Temperature model
$$T_1$$
Temperature model
$$T_1$$
Temperature model
$$T_i$$
Temperature model
$$T_n$$
...
...
Temperature model
$$T_1$$
Temperature model
$$T_1$$
Temperature model
$$T_1$$
...
Temperature model
$$T_1$$
% of internal units in ON
AC consumption model
$$Q_T$$
AC consumption model
$$Q_T$$
Optimization with MPC based on solar generation
Thanks for your attention
