Daniel Anthony Howard

• PhD in Energy Informatics
• PostDoc Position at University of Southern Denmark

Improving energy efficiency in industrial production processes is crucial for competitiveness, and compliance with climate policies. This paper introduces a data-driven approach to identify optimal melting patterns in induction furnaces. Through time-series K-means clustering the melting patterns could be classified into distinct clusters based on...

Digital twin technology has gained considerable traction in recent years, with diverse applications spanning multiple sectors. However, due to the inherent complexity and substantial costs associated with constructing digital twins, systematic development methodologies are essential for fully capitalizing on their benefits. Therefore, this paper fi...

Process cooling for food production is an energy-intensive industry with complex interactions and restrictions that complicate the ability to utilize energy-flexibility due to unforeseen consequences in production. Therefore, methods for assessing the potential flexibility in individual facilities to enable the active participation of process-cooli...

To enable sound scientific research in future energy informatics projects, it is necessary to obtain an overview of the current state of the research field to identify unaddressed gaps and challenges. Therefore, this paper aims to investigate the research trends and achievements within energy informatics in a Danish context within the last three de...

Greenhouse horticulture production is associated with high uncertainty and a long learning process due to its high dependency on the outdoor & indoor environment and plant types. Digital Twin (DT) technology enables a faster understanding of greenhouse horticulture facilities, obtaining insight into the production process flow and investigating the...

The project aims to create a Greenhouse Industry 4.0 Digital Twin software platform for combining the Industry 4.0 technologies (IoT, AI, Big Data, cloud computing, and Digital Twins) as integrated parts of the greenhouse production systems. The integration provides a new disruptive approach for vertical integration and optimization of the greenhou...

It is vital to conduct the evaluation of industrial energy flexibility potential to provide knowledge to relevant market players about the energy potential with economic gain through unlocking flexibility. This paper applies a scoping review methodology and presents the findings for uncovering industrial energy flexibility. The scoping review was c...

This paper introduces the ongoing research conducted on enabling industrial greenhouse growers to optimize production using multi-agent systems and digital twin technology. The project seeks to develop a production process framework for greenhouses, based on several case studies, that can be applied to different greenhouse facilities to enable a br...

The definition of overall district heating network performance indicators is under-investigated in the literature. This study reviews existing methods of performance estimation and develops a convenient methodology for an array of district heating networks applied to a Danish case study. Performances of the networks with state-of-art pipe transmiss...

There is an increasing demand for industry-specific solutions for optimizing production processes with the transitions towards Industry 4.0. The commercial greenhouse sector relies heavily on optimal use of energy with multiple new concepts introduced in recent years e.g. vertical farming and urban agriculture. Digital twins allow utilizing the Int...

To enable industries’ benefit and transition towards industry 4.0, intelligent solutions addressing and uncovering energy flexibility in the production processes are required. Breweries are one of the industries that have high energy flexibility potentials, and breweries can utilize substantial amounts of energy for cooling fermentation tanks as a...

The emerging framework of 4th Generation District Heating involves technologies, which make dynamic simulations necessary for planning and management of district heating networks. The standard district heating software Termis (static or quasi-static simulations) is compared on a single-consumer test case to the Modelica-based object-oriented modell...