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The current research aims to meet the energy needs of a group of residential buildings in Norway with the least amount of carbon dioxide emission and the greatest amount of renewable energy. The supply side based on the renewable renewable-based energy system is planned and scaled using the real-time data use of domestic hot water(DHW), heating and electricity necessary for the buildings. PVTpanels are used in the hybrid solar and biomass-based energy systems to produce both the DHWrequirements and the electricity production. The digester is used with the heat pump, which generates heat. A double-effect absorption refrigeration system is also utilized to provide the necessary cooling requirements. On the supply side, the management of the heat streams and the redirection of flows are done using a rule-based regulating system. The whole plant's size is supplied, and the dynamic energy simulation is run. The primary deciding criteria for heating the buildings are the costs of electricity and biomass. The whole system is then optimized depending on operating circumstances, and the outcomes are compared to the design point. PVTmay be used to create more than 80 % of the yearly DHW. Furthermore, summertime radiation accounts for 64.8 % of cooling output since it is more intense and may be converted into cooling energy. Digester/CC also contributes 66.55 % of the building's heating, showing that the designers should rely on biomass as wintertime energy costs are higher. The parametric study demonstrates that increasing PVT time and tank capacity has varied effects on efficiency and emissions. Also, On winter days, there was a significant drop in renewable energy generation from summer to autumn, from 82.7 MWh to 28.52 MWh. The optimization results show that at the TOPSIS point, the total cost, efficiency, and emission index are 9.73 $/hr, 36.8 %, and 7.75 kg/MWh, respectively.

A large potential to shift the electricity consumption to adapt to the stochastic renewable electricity generation is identified through the utilisation of a combination of Heat Pumps (HP) and local Thermal Energy Storage (TES) devices in building heating systems. In this paper, a building heating system coupled with an active Phase Change Material (PCM) TES device and a HP is simulated to characterise its potential for Demand Response (DR) applications. A control-oriented numerical model for the PCM TES is developed and previously validated numerical models of the building, HP and hot water radiators are integrated to simulate the dynamics of the coupled building heating system. A Genetic Algorithm (GA) based control strategy is designed to optimise the building heating energy consumption and operational cost with respect to time-varying electricity price signals. The developed control strategy is successfully implemented to utilise the TES capability of the PCM and the thermal inertia of the building to intelligently shift the electrical load of the HP to low price periods, while satisfying the specified indoor comfort requirements. In comparison to a reference case utilising a sensible TES, cost savings and consumption reductions of more than 40% and 30%, respectively, are attained with the active PCM TES. Simulation results indicate that utilising an active PCM TES over a sensible TES offers significant advantages for DR applications in building heating systems in terms of load shift flexibility, energy costs and consumption.

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.indmarman.2007.09.011 Byline: Paolo Guenzi (a), Laurent Georges (b), Catherine Pardo (c) Keywords: Relational behaviors; Strategic account managers; Customer trust; Synergistic solutions; Team selling; PLS Abstract: This paper explores the impact of some behaviors of strategic account managers on the relational outcomes of the relationships they are in charge of. Based on a review of literature on personal selling and strategic account management, we contribute to a greater understanding of the role of specific strategic account managers' behaviors in fostering synergistic solutions, role performance and customer trust. Results of the empirical study clearly show that the use of customer orientation has a strong influence on customer trust by increasing strategic account managers' role performance and stimulating synergistic solutions. Conversely, a selling orientation negatively affects synergistic solutions, thus decreasing customer trust. Finally, team selling has a positive impact on the attainment of synergistic solutions, thereby fostering customer trust. Based on these findings, managerial and research implications are discussed. Author Affiliation: (a) Department of Management - Institute of Marketing, Bocconi University and SDA Bocconi School of Management, Via Bocconi, 8, 20136 Milano, Italy (b) IUT-Tarbes, University Paul Sabatier Toulouse III, LCG Research Center, EA 2043, Toulouse, France (c) OCE - EM-Lyon, 23, Avenue Guy de Collongue BP 174, Lyon Ecully Cedex, France Article History: Received 10 August 2006; Revised 17 July 2007; Accepted 17 September 2007

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.indmarman.2005.03.014 Byline: Paolo Guenzi (a), Catherine Pardo (b), Laurent Georges (c) Keywords: Relational selling; Key account management; Relational behaviors; Italy; PLS; Empirical research Abstract: Many companies see key account management as a potentially successful way to implement a relational strategy. Nevertheless, the literature suggests that strategy implementation at the sales force level is difficult to achieve, mainly because salespeople may not understand - nor accept - what they are requested to do. Despite their relevance, behaviors of key account managers have poorly been investigated. This article defines and tests a model of relational selling behaviors from the part of key account managers. Results show that the perception of the adoption of a relational selling strategy is associated with some specific key account managers' behaviors (customer-oriented selling, adaptive selling and team selling), but not with others (organizational citizenship behaviors). These findings suggest that potential discrepancies can exist between a relational selling strategy and its implementation at the key account manager level. Based on these results, theoretical and managerial implications are discussed. Author Affiliation: (a) Department of Marketing, Bocconi University and SDA Bocconi School of Management, Via Bocconi, 8, 20136 Milano, Italy (b) EM-Lyon, 23, Avenue Guy de Collongue BP 174, Lyon Ecully Cedex, Lyon France (c) University of Toulouse III - IUT TC and Laboratoire de Gestion et Cognition, 1, Rue Lautreamont 65, Tarbes, France Article History: Received 1 November 2003; Revised 30 November 2004; Accepted 21 March 2005

This paper introduces "pymodconn", a comprehensive python package developed for constructing modular sequence-to-sequence control-oriented deep neural networks. These deep neural networks (DNNs) are designed to predict the future dynamics of complex time-dependent systems for given known future data, e.g., control inputs, using past known system dynamics and control inputs. The strength of DNNs in modeling complex systems is well known, but developing an optimal deep learning-based model can be a resource-intensive task. This package streamlines this process, simplifying model architecture selection and fine-tuning. The key strength of pymodconnlies in its high-level modularity, enabling users to design their DNN architectures in a flexible manner via a simple text-based configuration file. This flexibility and the comprehensive nature of pymodconnconsiderably reduce the development efforts and time for applications where precise control over system dynamics is necessary.

As buildings are becoming an integrated part of the energy system, the potential activation of the thermal mass as a source of flexibility needs to be considered in energy system modeling. Since energy system models represent larger and integrated systems, often as linear programs, the thermal mass activation of buildings needs to be formulated accordingly to be included as a flexibility asset in the energy system optimization problem. The article provides a linear model of the energy stored in the building thermal mass compared to a reference operation scenario without demand response. This formulation in relative terms significantly reduces the number of model parameters to be identified using field measurements and enables the analysis of the aggregated energy flexibility in energy system models. The thermal mass activation is demonstrated in a case study which also includes validation. In addition, a comparison of the thermal mass activation and batteries is made. It is concluded that the provided linear deviation-based formulation is appropriate for representing the potential of flexibility provision from the thermal mass in buildings for the purpose of energy system planning.

[24] Georges, Laurent (2006), 'Delivering Integration, Value, and Satisfaction Through Key Account Manager's Communication,' Journal of Selling & Major Account Management, 6 (1), 6-21. [Loe] The study investigates the impact of key account managers' communication on collaborative relationships. The sample included purchasing agents serviced by key account managers from a variety of industries. This research employed qualitative in-depth interviews with 52 purchasing agents to validate the conceptual framework and then a mailed questionnaire (102 usable returned, 38 percent) to empirically test the framework. The study identified four different behaviors of purchasing agents (offer adjustment, buying center consultation, communication transparency, and internal communications). The study then linked these behaviors to customer-perceived integration, customer-perceived value, and satisfaction. The results suggest that key account manager adjustment behavior primarily influences customer-perceived value and that customer satisfaction is significantly affected by internal communication. Buying center consultation and internal communication have a significant impact on customer-perceived integration. Managerial implications are provided.

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