NEW APPROACHES FOR ENERGY MANAGEMENT AND GRID...

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Diesen Kasten nicht löschen (ist für die Funktion der Folie wichtig)

NEW APPROACHES FOR ENERGY MANAGEMENT AND GRID INTEGRATION FOR DECENTRALIZED ENERGY SYSTEMS

2018 Bucharest Symposium on Microgrids

Jan von Appen Fraunhofer Institute for Energy Economics and Energy System Technology IEE

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Side 2 Bucharest 2018 Symposium on Microgrids September 2018 Jan von Appen

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Interoperability

Open source Interfaces

Digitalization, power-heat-storage systems and e-mobility provide new opportunities for prosumer oriented energy management.

Flexibility Data security

Smart home

Building automation

Optimization

AI

IoT

Smart meter

Smart grid

ML Web services

Usability

Motivation (1)

Pictures: Tesla, SMA, Vaillant

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Grid integration

Changing drivers for sizing and operation of RES increase the complexity of planning and operation for all involved actors.

Changing feed-in tariff Changing price signals*

*Source: energy-charts

Continuous adjustment

according to PV

installation rates

Unclear if fixed FIT exists

after 52 GW cap for PV

has been reached (now:

44 GW)

Motivation (2)

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Demand flexibility

and efficiency

Smart grid

Energy transition

A threefold approach is prosed to enable better RES integration and improved energy efficiency for customers.

RES invest-ments

New incentives for demand flexibility

and automation of energy

management

Improved grid integration of RES and

microgrids through optimal control

Data-driven investment and

operation decisions in RES, microgrids

and e-mobility

Motivation (3)

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social energy management

RES investment and operation

Agenda

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Agenda

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sema (social energy management):

Platform enabling participants to optimize their energy consumption through

room heating management and electricity monitoring

Personalized feedback on energy usage and points for adjusted energy

consumption

Electricity demand:

High RES generation = high sema level

More points for energy consumption when sema levels are high

Motivation for higher demand flexibility according to RES generation

sema aims at motivating the adoption of different energy consumption patterns and facilitating energy savings.

sema – Introduction

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sema – Setup and field test

sema runs on the open-energy management platform OGEMA developed by Fraunhofer IEE.

Source: Engel (2018)

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Occupancy

Adjusted demand

Up to 50 % more demand in certain evening hours

Comparison of electricity demand with low and high sema levels

sema – Results for electricity demand

sema incentivizes shifting demand according to RES generation, but is limited by participants‘ occupancies.

Time of day [h]

95% Confidence interval

Median Occupancy (secondary axis

Source: Engel (2018)

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Agenda

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RES investment and operation – Approach

Tools for optimal sizing and operation of DER, microgrids and e-mobility

Forecasts for load and prices for model-predictive controller

Market and grid requirements

Load data (e.g. from sema)

Building and RES data

Investment and operational costs

DER sizing and operation

Input Optimization Results

User model

KPIs for prosumers, DNOs and utilities

Incentive evaluation and suggestion

Objection function

depending on use case

Case studies:

Optimal sizing and operation of residential PV systems with battery storage systems and heat pumps for different incentives

Interdependencies between incentive design, sizing, operation and grid integration

Optimally configured and operated decentralized energy systems provide a chance to generate value added for prosumers.

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Impact of reimbursement of PV

grid feed-in on PV system size:

Impact of BSS and heat pumps on

PV system size:

Rooftop PV potential might not fully captured in post-FIT world.

Sector coupling as a chance

How do changing incentives impact the sizing and grid integration of residential PV systems (especially once the FIT is close to zero)?

RES investment and operation – Results for investment

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Optimized control of decentralized power-heat-storage systems ensures such systems benefit from new incentives.

Combination of price and feed-in limit incentives to ensure a grid-friendly operation of decentralized power-heat-storage systems

New incentives for operation of PV BSS battery and heat pump operation (market prices, peak charges and feed-in limits)

RES investment and operation – Results for operation

Source: Appen (2018)

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Demand flexibility

and efficiency

Smart grid

Energy demand flexibility can only be achieved through the right mix of user-focus, optimal control and automation.

RES invest-ments

Summary and outlook

Optimization models for integrated planning and

operation of decentralized energy systems and microgrids:

Strategic stakeholder behavior and interdependencies

Automation of energy management:

Data analysis and integration via IoT

Integration into grid planning processes

User-focused approaches for energy efficiency and grid

integration:

New incentives and non-monetary approaches

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Dr. Jan von Appen

Head of Department Energy Management and Energy Efficiency

Coordinator of Business Unit Decentralized Energy Management

[email protected]

References

S. Engel, D. Nestle, E. Dörre, J. von Appen. “sema – Erkenntnisse aus dem Betrieb eines social energy management system“, 15. Symposium Energieinnovation, Graz, Feb. 2018.

J. von Appen. “Incentive design, sizing and grid integration of res-idential PV systems with heat pumps and battery storage systems”, 15th International Conference on the European Energy Market (EEM), Lodz, Jun. 2018.

www.ogema.org

mailto:[email protected]

mailto:[email protected]

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