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Decentralized Energy Networks based on Blockchain: Background, Overview and Concept Discussion
(2018)
This paper provides a snapshot of the globally ongoing decentralization of (business) relations in the energy sector. This tendency can be observed in other domains as well and is accompanied by new digital technological developments. Blockchain technology is assigned disruptive potential when it comes to realize those decentralization ideas. This hype about Blockchain is mainly company-driven without a solid academic basis yet. The authors are currently involved in several research efforts for utilizing distributed energy resources like photovoltaic systems, batteries and electric cars for the setup of energy communities and marketplaces. The paper, therefore, presents detailed investigations of background and motivations for decentralization and the building of (local) energy communities and (peer-to-peer) marketplaces for sustainable utilization of renewable energies. An overview of recent related Blockchain-based works is presented, and the current state and feasibility for the realization of the envisioned decentralized solutions are discussed. In this way, the work aimed at contributing to a research-based decision foundation for upcoming Blockchain-based decentralization efforts.
The overall impression of a glossy surface is an important parameter for consumer’s choice of wooden products. A new gloss parameter, called gloss impression, which calculates a reflexion structure image, was developed in order to complement the measurements made by industrial glossmeters, which are highly limited in describing the visual human perception, for example the commonly used gloss value. The objective of this study is to investigate to what extent the new measurement method of surface gloss is applicable to describe human gloss perception, in other words, to validate the new method. In order to analyse the concordance of the new methodology with human perception, 113 naïve observers had to rank the glossiness of eight series of black and white samples. The results were compared to both gloss impression and gloss value. The statistical evaluation by means of Pearson’s chi-squared tests revealed that the new method has an overall better correspondence to human perception than the gloss value. For black samples, it describes human perception significantly better than the gloss value and gives better results than those which would be achieved by guessing.