Inter-organizational learning for sustained competitiveness and ecological sustainability – the case of beta-testing activities of alternative-fuel, fuel cell-driven public transport buses

This doctoral research paper focuses on the occurrence and functioning of groups of organizations, which need to collaborate on inter-related innovations for sustainable development (SD) and ecological sustainability (ES). First of all, approaches to corporate environmental management (EM) and to societal experiments and projects for SD and ES are here conceptualized as taking shape in clusters of innovation for sustainability (CISs), as opposed to essentially framing these activities at the level of and from the perspective of the individual company. Furthermore, the study integrates various theories and perspectives on strategic networks or alliances by means of the integrating and overarching theoretical perspectives of inter-organizational and network learning. These theories and perspectives are applied to and extended for the specific implications of SD and ES by incorporating and combining the following kinds of – radical – innovations: - Socially shaped, disruptive, systemic technological innovations. - Socio-structural innovations in which different communities-of-practice need to collaborate. - Learning innovations, including higher-order learning between the involved organizations. A conceptual framework is derived and empirically applied to demonstration activities of alternative-fuel, fuel cell (FC)-driven public transport buses

Assessment of syntactic awareness: Effects of plausibility in solving tasks and in its relation to sentence comprehension [Evaluación de la conciencia sintáctica: Efectos de la verosimilitud en la resolución detareas y en su relación con la comprensión de oraciones]

In this study, we present one task to assess syntactic awareness. This task consists in rearranging the word order in a set of sentences. The sentences vary in length (short-long), syntactic complexity (active-passive, simple-compound, coordinated-subordinated) and plausibility (half of the sentences are semantically plausible and the other half are semantically implausible). We analyzed the information provided by this task in its application to a group of 97 primary students, and we compared the results based on each of the conditions and depending on the level of understanding. The results show greater difficulty when the content is semantically implausible, making essential the implementation of syntactic processing skills. The data also show that while some elements of length and syntactic complexity show significant effects on the results, the introduction of semantically implausible sentences overwhelmingly affects task performance, modulating the effect of the aforementioned conditions. The data reveal no differences in comprehension among students who had a syntactic reader profile and those with a semantic reader profile. Finally, we found that those items in the task that allow for semantic processing relate better to the measure of reading comprehension than the items that support only syntactic processing. The results suggest that the designed task allowed to obtain differentiated information about the syntactic and semantic components of written language in the process of reading assessment. © 2014 PUCV, Chile.Universidad Autónoma de Chil

MILP-based model predictive control for home energy management systems: A real case study in Algarve, Portugal

This paper addresses the development of an innovative home energy management system (HEMS). The presented HEMS relies on a mixed-integer linear programming (MILP)-based model predictive control. The system takes advantage of the powerful formulation capabilities of a MILP-based mathematical pro-gramming problem with the capabilities of model predictive control to optimize, at each sample instant the HEMS operation using a receding-horizon formulation. The system is designed for a residence located in Algarve, Portugal. The results of the presented system are compared with the real experimental results obtained by a commercial PV-battery management system. Additionally, an analysis of the system???s per-formance is conducted, in terms of operation planning for 2021 market prices compared to 2022 prices, where there was a significant rise of buying price due to the energy world context. In all simulations per-formed, it is verified that the MILP-based model predictive control presents better results, with statistical relevance. CO 2023 Elsevier B.V. All rights reserved.Grant numbers 39578/2018 and 72581/2020;info:eu-repo/semantics/publishedVersio

Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market

This paper presents an optimal bid submission in a day-ahead electricity market for the problem of joint operation of wind with photovoltaic power systems having an energy storage device. Uncertainty not only due to the electricity market price, but also due to wind and photovoltaic powers is one of the main characteristics of this submission. The problem is formulated as a two-stage stochastic programming problem. The optimal bids and the energy flow in the batteries are the first-stage variables and the energy deviation is the second stage variable of the problem. Energy storage is a way to harness renewable energy conversion, allowing the store and discharge of energy at conveniently market prices. A case study with data from the Iberian day-ahead electricity market is presented and a comparison between joint and disjoint operations is discussed.info:eu-repo/semantics/publishedVersio