Cloudberry consists of 12 subprojects


1. Datacenter's interaction with the national energy system
This is a multidisciplinary project where various aspects of data centers interaction with the surrounding energy system, both as a consumer and producer, are studied with regard to possible data center development options. The focus is both on the connection with the energy system and on developing an impact assessment of potential data center development opportunities.


2. Multifunctional data centers
This is a collaboration between the architecture- and construction management and building technology groups at LTU, a data center operator and a construction company. The project aims to develop a data-driven demonstrator to evaluate the potential of integrated multifunction data centers and support design and production planning. 


3. Quality and credibility when simulating cooling in data centers
The purpose of the project is to increase energy efficiency in data centers through the development of advanced simulation models and experimental tools. The goal is to develop reliable tools that can be used to optimise and control the cooling of data centers at different levels, from components and subsystems to entire data centers. The produced tools will be used for simulation driven development of cooling methods as well as overall design optimisation. 


4. Transient simulations of data center dynamic thermal management arrangements
The project aims to develop a simulation tool to capture the dynamics of thermofluidics for the cooling of large-scale distributed IT systems, commonly found in modern data centers. A validated, quick, simulation tool will be able to analyse the benefits of different layouts at data centers and heat dissipation methods in case of alternating loads as well as disturbances and errors. 


5. Evaluation of energy recovery solutions for data centers
A major problem with data centers is that the residual heat generated during the cooling process is rarely used because it often has low temperature and a large volume flow. In this project, possible heat recovery methods will be evaluated in detail where the goal is to visualise which methods and techniques are possible to use as well as whether they are energy efficient enough to become profitable. Another important aspect to study is how these affect the operation of data centers, as well as the ability to take advantage of all residual heat. 


6. Design of distribution networks for energy efficient data center operations
This project aims to review the design of the internal grid within a data center with respect to energy efficiency and reliability. Different distribution network solutions will be studied. New knowledge about opportunities and limitations with energy efficiency of studied options will be developed, as well as existing and expected levels of interference in the data center tension. 


7. Data centers impact on the electricity market when the amount of renewable
electricity augment

The project aims to develop knowledge about the consequences for the electricity market in establishing data centers and other energy-intensive industries where the share of renewable electricity generation increases. The goal is to evaluate potential instruments and other financial incentives based on how they can contribute in this context. In addition, markets for system services and network services linked to energy intensive industry will be studied, as well as handling balancing power and operational reserves.


8. SimBerry - Flexible and large-scale simulation of interaction between district heating
and remote cooling networks and data centers

The purpose of the project is to develop methods and tools to dynamically create digital twins of complete district heating and remote cooling networks with recovery of waste heat from data centers. The work is based on previous results where a unique digital twin for a district heating system using an automated model generation method has been created. The goal is to improve flexibility and study how a large-scale digital twin can be made dynamic with respect to functionality and validation facilities. 


9. Proximity liquid cooling inside data centers for direct heat recovery 
The project focuses on theoretical and experimental analysis of liquid-cooled IT systems for direct heat recovery. The aim of the subproject is to develop a one-dimensional theoretical flow and heat exchange model that captures both energy and exergy losses when transferred into thermally charged refrigerants. Another goal is to experimentally validate the theoretical model against a true heat transfer system.


10. Automated maintenance of energy-efficient data centers
Maintenance costs represent a large proportion of total operating costs in large industrial plants such as data centers. Large-scale data centers employ large personnel groups to perform maintenance tasks such as, for example, to replace broken servers and components. The goal of the project is to investigate appropriate methods for intelligent and automated server room maintenance systems and measure the impact on data center energy efficiency.


11. Resource efficiency in software processes and communication in data clouds
and data centers

The project will study a general software architecture that provides resource-efficient methods for virtualisation of software processes and communication between them in a distributed environment. The plan is to address energy consumption early in the chain by studying and increasing the efficiency of software. A goal for the project is to bring containers to an additional level of resource efficiency in the context of data centers and distributed devices in society. 


12. Resource efficiency in distributed ledgers and smart contracts
The project will study the distributed distribution area and smart contracts, often including so-called blockchains and hash graphs. These solutions often consume large amounts of energy. The plan is to study resource efficiency in such systems, to define requirements and solutions, to evaluate options, and to define balance between requirements and energy costs. The plan for this project is to specifically study resource efficiency to define requirements and solutions, as well as to define balances between requirements and energy costs.