Sustainability matchmaking: Linking renewable sources to electric water heating through machine learning
A high penetration of renewable energy sources such as wind power generation and
photovoltaic generation causes some problems in power systems such as the duck curve …
photovoltaic generation causes some problems in power systems such as the duck curve …
State estimation of resistive domestic hot water heaters in arbitrary operation modes for demand side management
Utilizing domestic hot water heaters (DHWH) for demand side management (DSM) requires
physical models of DHWH dynamic behavior. An ideal dynamic DHWH model is simple as …
physical models of DHWH dynamic behavior. An ideal dynamic DHWH model is simple as …
How much energy can optimal control of domestic water heating save?
Scheduled control of domestic electric water heaters, designed to cut energy use while
minimising the impact on users' comfort and convenience, has been fairly common for some …
minimising the impact on users' comfort and convenience, has been fairly common for some …
Field testing of demand side management via autonomous optimal control of a domestic hot water heater
While many approaches for using domestic hot water heaters (DHWH) for demand side
management (DSM) have been proposed, only few of these approaches, have been …
management (DSM) have been proposed, only few of these approaches, have been …
Battery storage systems as grid-balancing measure in low-voltage distribution grids with distributed generation
Due to the promoted integration of renewable sources, a further growth of strongly transient,
distributed generation is expected. Thus, the existing electrical grid may reach its physical …
distributed generation is expected. Thus, the existing electrical grid may reach its physical …
Optimal schedule and temperature control of stratified water heaters
Water heating is a major component of domestic electrical energy usage, in some countries
contributing to 25% of the residential sector energy consumption. Demand response …
contributing to 25% of the residential sector energy consumption. Demand response …
Improving the Load Flexibility of Stratified Electric Water Heaters: Design and Experimental Validation of MPC Strategies
E Buechler, A Goldin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Residential electric water heaters have significant load shifting capabilities due to their
thermal heat capacity and large energy consumption. Model predictive control (MPC) has …
thermal heat capacity and large energy consumption. Model predictive control (MPC) has …
Practically-achievable energy savings with the optimal control of stratified water heaters with predicted usage
Residential water heaters use a substantial amount of electrical energy and contribute to
25% of the energy usage in the residential sector. This raises concern for users in countries …
25% of the energy usage in the residential sector. This raises concern for users in countries …
Assessing the energy storage potential of electric hot water cylinders with stochastic model-based control
As electric hot water cylinders (HWCs) have a large capacity for thermal storage, they are
well-suited for Demand Side Management (DSM). This paper compares different methods of …
well-suited for Demand Side Management (DSM). This paper compares different methods of …
Harnessing Curtailed Wind-Generated Electricity via Electrical Water Heating Aggregation to Alleviate Energy Poverty: A Use Case in Ireland
C Ahern, R Oliver, B Norton - Sustainability, 2024 - mdpi.com
Ireland experiences high energy poverty rates alongside surplus wind energy resources.
With 77% of Irish households equipped with electrical immersion heaters for domestic hot …
With 77% of Irish households equipped with electrical immersion heaters for domestic hot …