Results 81 to 90 of about 189,544 (307)
Domestic Heat Demand Prediction using Neural Networks [PDF]
, 2008 By combining a cluster of microCHP appliances, a virtual power plant can be formed. To use such a virtual power plant, a good heat demand prediction of individual households is needed since the heat demand determines the production capacity.
Albert Molderink +7 more
core +1 more source
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Predicting future GB heat pump electricity demand
, 2023 To meet net zero carbon targets by 2050s, countries with cold winters, such as Great Britain (GB), will turn to low carbon domestic heating systems such as electric heat pumps.
Richard Buswell (1249932) +3 more
core +1 more source
FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Flexibility Potential of Space Heating Demand Response in Buildings for District Heating Systems
Energies, 2019 Using an integrated demand-supply optimization model, this work investigates the potential for flexible space heating demand, i.e., demand response (DR), in buildings, as well as its effects on the heating demand and the operation of a district heating ...
Dmytro Romanchenko +3 more
doaj +1 more source
, 2019 It has become a major point of interest and possible bone of contention that in a future near-decarbonised electricity network, i.e. approaching 100% reduction in emissions by 2050, a low carbon space heating market will be enabled through the deployment
Raymond Byrne +13 more
core +1 more source
Optimal Energy Management of a Demand Response Integrated Combined-Heat-and-Electrical Microgrid
, 2022 This chapter mainly presents the optimal energy management scheme of the combined-heat-and-electrical microgrid (CHEM), which contributes to this book from the operation side of the modern heat and electricity incorporated networks. A CHEM simultaneously
Zhengmao Li (12274533) +3 more
core +1 more source
FEBS Letters, EarlyView.Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
Spatial aggregation and visualisation of urban heat demand using graph theory.
International Journal of Sustainable Energy Planning and Management, 2019 Because of the physical properties of heat energy, information about the spatial pattern of building heat demand is important for designing climate protection measures in the heating sector (efficiency improvements and renewable energy integration). Many
Ivan Dochev, Hannes Seller, Irene Peters
doaj +1 more source
Heating demand – simulation and calculation
IOP Conference Series: Materials Science and Engineering, 2019 Energy efficient house is a term known very well to engineers and architects all over the world. In these times of minimizing the energy loads and negative emissions, energy efficient houses (ultra-low-energy, net-zero houses, positive houses) are one of the best ways to meet these targets.
openaire +1 more source