Thereby securing their position against low-cost production regions globally, which are currently gaining access to the multi-billion global market for horticultural products. Using DT technology, the Danish horticultural greenhouse industry will become increasingly competitive. The research presents a new disruptive approach for vertically integrating and optimizing the greenhouse production processes. 2017b), the Danish horticultural greenhouse industry must continuously improve energy efficiency and production throughput, and productivity without compromising product quality or sustainability to stay competitive. Similar to other energy and labor-intensive industries that compete with low-cost regions, such as cement production (Ma et al. GHI4.0 will enable energy-aware and sustainable production by adapting and combining the Industry 4.0 (I4.0) principal technologies Internet of Things (IoT), Artificial Intelligence (AI), Big Data, cloud computing, and Digital Twins (DT) as integrated parts of their production systems. 2016), a national project called the Greenhouse Industry 4.0 (GHI4.0), funded by the Danish Energy Technology Development and Demonstration Program (EUDP Project no 64019–0018) with a project period of 2019 to 2022., aims to make the Danish horticultural greenhouse industry production energy-efficient and environmentally sustainable. 2018).īased on the previous work presented in (Markvart et al. However, industries have in general expressed concerns about flexible energy consumption implications on their products’ production and quality (Haeri et al. The greenhouse industry has been identified as a consumer group with significant potential for delivering demand response as they have high electricity consumption and already installed energy management systems and should be prioritized (Müller and Möst 2018 Ma and Jørgensen 2018). Based on their consumption and adjustment speed, the consumers can act in various parts of the market based on the met conditions. A solution that aids in grid stability is demand response, in which the participants adjust their consumption based on price signals or market conditions (Ma et al. However, as intermittent renewable energy sources are being introduced into the energy system while phasing out large coal-fired power plants, there is a need for active market players that can adjust their consumption based on market conditions (Mlecnik et al. The energy system has traditionally followed the consumers’ demand by regulating the power plants’ operation (Qingnan Li and Jørgensen 2016). The ecosystem will enable the industrial greenhouse facilities to become increasingly active participants in the electricity grid.Īs the world has seen an increasing penetration of intermittent renewable energy sources to combat global warming, there has been a call for solutions that can support the electricity grid’s balancing. The contribution of this project is to develop an ecosystem of digital twins that collectively capture the behavior of an industrial greenhouse facility. A collection of specialized Digital Twins are linked together to describe and simulate all aspects of the production chain, such as overall production capacity, energy consumption, delivery dates, and supply processes. The ecosystem of digital twins extends the state-of-the-art by adopting a scalable distributed approach of “system of systems” that interconnects Digital Twins in a production facility. The Digital Twins support the co-optimization of the production schedule, energy consumption, and labor cost by considering influential factors, including production deadlines, quality grading, heating, artificial lighting, energy prices (gas and electricity), and weather forecasts. A Digital Twin combines modeling, AI, and Big Data analytics with IoT and traditional sensor data from the production and cloud-based enterprise data to predict how the physical twin will perform under varying operational conditions. Applying the Industry 4.0 Digital Twin concept to the Danish horticulture greenhouse industry provides digital models for simulating and evaluating the physical greenhouse facility’s performance. The integration provides a new disruptive approach for vertical integration and optimization of the greenhouse production processes to improve energy efficiency, production throughput, and productivity without compromising product quality or sustainability. 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.
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