9 research outputs found
Techno-Economic Analysis of Energy Storage within Network Constraint Groups for Increasing the Share of Variable Renewable Energy
Power Conversion in A Grid‐Connected Residential PV System with Energy Storage Using Fuzzy‐Logic Controls
Upgrading Wind and Storage Resources for Increased Demand-Side Energy Generation and Market Value
Multi-Stage Multi-Criteria Decision Analysis for Siting Electric Vehicle Charging Stations within and across Border Regions
Electric Vehicles (EVs) replace fossil fuel vehicles in effort towards having more sustainable transport systems. The battery of an EV is recharged at a charging point using electricity. While some recharging will be required at locations where vehicles are normally parked, other recharging could be necessary at strategic locations of vehicular travel. Certain locations are suitable for EV charging station deployment, others are not. A multi-stage decision analysis methodology for selecting suitable locations for installing EV charging station is presented. The multi-stage approach makes it possible to select critical criteria with respect to any defined objectives of the EV charging station and techno-physio-socio-economic factors without which the EV charging station could not be deployed or would not serve its designated purpose. In a case, the type of charging station is specified, and a purpose is defined: rapid EV charging stations intended for public use within and across border regions. Applied in siting real EV charging stations at optimal locations, stages in the methodology present additional techno-physio-socio-economic factors in deploying the type of EV charging stations at optimal locations and keep the EV charging stations operating within acceptable standards. Some locations were dropped at the critical analysis stage; others were dropped at the site-specific analysis stage and replacement sites were required in certain instances. Final locations included most optimal, less optimal, least optimal, and strategic or special need locations. The average distances between contiguous recharging locations were less than 60 miles. Using any specified separation standard, the number of additional EV charging stations required between EV charging stations were determinable with the Pool Box. The Overall Charging Station Availability quadrants suggest that the overall user experience could get worse as less-standardized additional EV charging stations are deployed
Energy Storage on a Distribution Network for Self-Consumption of Wind Energy and Market Value
Towards A Sustainable Electricity Grid: Market and Policy for Demand-Side Storage and Wind Resources
Value of demand flexibility for providing ancillary services: A case for social housing in the Irish DS3 market
VALUE OF DEMAND FLEXIBILITY FOR PROVIDING ANCILLARY SERVICES: A STUDY OF THE IRISH DS3 MARKET
This paper evaluates the potential of consumer flexibility to reduce expenditure on the ancillary services required to manage wind variability. Flexibility is provided by turning up or turning down a portfolio of heat pumps in response to system imbalance.
We proposed two new ancillary service products to the Irish DS3 Market, Demand-Turn-Up+ (DTU+) and Demand-Turn-Down+ (DTD+). A model for simulating these two services was developed for three scenarios: Flexibility using thermal storage, Flexibility using battery and finally flexibility by shifting or reducing heating loads without storage. A portfolio of one million heat pumps was simulated, controlling these devices in response to system imbalance for the month of February 2019. A time series of DS3 payments was used to calculate the associated savings in DS3 spend for each settlement period.
The results show that demand flexibility can reduce spending on ancillary services by 42%, while reducing CO2 emissions by 67% by switching from oil-fired heating to heat pumps. This could help transition one million homes (one-third of the Irish housing stock) to low carbon heating