In this PhD thesis application of numerical methods to simulation-based optimization of solar thermal systems both in the planning process and in operation is investigated. The optimization process starting from definition of a target function and specification of optimization parameters, moving forward with application of an optimization algorithm and ending up by sensitivity analysis at the found optimum, is described in detail. A hybrid genetic CHC – binary search algorithm is proposed and applied. As a combination ...

The reduction of energy consumption in industrial processes, notably within low temperature industries, leads to greater economic gain and lower carbon emissions. Numerous energy audits and case studies within the food and beverage industry suggest that initial efforts to reduce energy consumption should focus on energy efficiency measures such as heat recovery and process optimization due to their lower cost of implementation. Eventually, however, an efficiency limit is reached and the only way to further reduce ...

Ziel dieser Arbeit ist die realistische Quantifizierung der bei der Erstellung von Ertragsprognosen auftretenden Unsicherheiten unter besonderer Berücksichtigung langfristiger Variationen des Solarstrahlungs-Potenzials. Daneben sollten mögliche Verbesserungs-Potenziale zur Prognose der Erträge von PV-Kraftwerken identifiziert und umgesetzt werden. Dazu wird zunächst die Konzeption und Methodik von Ertragsgutachten für PV-Kraftwerke systematisch erfasst und beschrieben. Die relevanten ...