In the MIRABEL project, a data management system for a smart grid is developed to enable smarter scheduling of energy consumption such that, e.g., charging of car batteries is done during night when there is an overcapacity of green energy from windmills etc. Energy can then be requested by means of flexoffers which define flexibility with respect to time, amount, and/or price. In this paper, w...

The usage of renewable energy sources (RESs) to achieve greenhouse gas (GHG) emission reduction goals requires a holistic transformation across all sectors. Due to the fluctuating nature of RESs, it is necessary to install more wind and photovoltaics (PVs) generation in terms of nominal power than would otherwise be required in order to ensure that the power demand can always be met. In a near ...

This study investigates the interactions between a steel industry that applies hydrogen direct reduction (H-DR) and electricity system of northern Europe. We apply techno-economic optimization model with aim achieving net-zero emissions from sectors in Year 2050. The minimizes investment running costs production units, while meeting demands for steel. modeling is carried out number scenarios, w...

The most current Indonesian Criminal Code (KUHP) contains the concept of Community Service Punishment, which is considered an effort to reform criminal law system. as a form punishment in this country, requires appropriate mechanism achieve sentencing goals, namely rehabilitation convicts through participation social activities that benefit society. This study aims analyze existence Punishment ...

Research indicates that the projection of traffic volumes is a valuable tool for management. However, few studies have examined application universal automated framework car volume prediction. Within this limited literature, using broad data sets and inclusive predictors been inadequate; such works not incorporated comprehensive set linear nonlinear algorithms utilizing robust cross-validation ...

A new viewpoint of the processing: performed by Kanerva's sparse distributed memory (SDM) is presented. In conditions of nearor overcapacity, where the associative-memory behavior of the model breaks down, the processing performed by the model can be interpreted as that of a statistical predictor. Mathematical results are presented which serve as the framework for a new statistical viewpoint of...

Reducing coal capacity is an essential part of China’s energy transition, with the formulation a de-capacity quota allocation plan key to achieving its overcapacity reductions. This paper presents decapacity mechanism based on comprehensive consideration ecological, economic, and efficiency concerns at enterprise level deal problems. A multi-objective optimization model equilibrium strategy est...

To achieve a circular economy, we need to reinvent the ways in which plastic products are produced, used and recycled. This study investigates cost-optimal design operation of an electrified process for production plastics that employs thermochemical recycling waste. In addition, impact this on north European electricity system is investigated. A techno-economic optimization model, with objecti...

Despite the considerable contribution of hydropower for meeting electricity demand and meanwhile achieving free carbon emission, rationality exploitation needs to be reassessed in context curtailment being severe some hydro-dominant areas. In this paper, a two-stage fuzzy-stochastic chance-constrained interval (TFCI) regional energy system optimization model under multiple complexities is devel...

background:   elevator-related accidents are uncommon, but can cause significant injury. however, little data exist on these types of accidents. to compile and analyze accident data involving elevators in an effort to eliminate or at least significantly reduce such accidents. methods: in this retrospective study we investigated 1,819 cases of elevator-related accidents during a four-year period...